Patent Document

CROSS-REFERENCE TO RELATED APPLICATIONS 
   This application claims the benefit of Korean Application No. 00-965 filed Jan. 10, 2000, in the Korean Patent Office, the disclosure of which is incorporated herein by reference. 
   BACKGROUND OF THE INVENTION 
   1. Field of the Invention 
   The present invention relates to data reproduction, and more particularly, to a data reproducing apparatus for and method of improving data detection performance by adjusting decision levels used in a data detector and a method. 
   2. Description of the Related Art 
   Technology related to a partial response maximum likelihood (PRML) has been developed to increase a recording density through signal processing without sharply changing the characteristics of conventional recording/reproducing apparatuses, and many specific means based on this technology have been proposed. 
   In  FIG. 1 , which is a block diagram illustrating a conventional data reproducing apparatus, an analog to digital converter (ADC)  100  samples an input radio frequency (RF) signal. A direct current (DC) offset compensator  102  and an adder  104  compensate for a DC offset component contained in the sampled RF data, and the compensated result is provided to an equalizer  106 . A level error detector  108  detects an error e k  between a target value and the output of the equalizer  106  composed of a finite impulse response (FIR) filter, based on the level of a minimum pit (or a mark)—3T (T: a bit space) in the case of a conventional digital versatile disc (DVD) or compact disc (CD). 
   Where an error value detected by the level error detector  108  is positive (+), a filter coefficient adjustor  110  determines that the level of the minimum pit is larger than the target value and adjusts a filter coefficient in a negative direction. The adjusted filter coefficient W k+1  is provided to the equalizer  106  to decrease the output level of the minimum pit provided by the equalizer  106 . Alternatively, where an error value detected by the level error detector  108  is negative (−), the filter coefficient adjustor  110  determines that the level of the minimum pit is smaller than the target value and adjusts a filter coefficient in a positive direction. The adjusted filter coefficient W k+1  is provided to the equalizer  106  to increase the output level of the minimum pit provided by the equalizer  106 . 
   With such an arrangement, the minimum pit having an appropriate level is output, thereby improving the performance of a Viterbi detector  112 . In  FIG. 1 , x k  denotes the input data of the equalizer  106 , y k  denotes the output data of the equalizer  106 , and W k+1  denotes the adjusted filter coefficient for the equalizer  106 . 
   Meanwhile, the DC offset compensator  102  accumulates +1 where a sampled value S k  from the ADC  100  which samples an input RF signal exceeds zero and −1 where the sampled value S k  is smaller than zero. Where the accumulated value is equal to or larger than a predetermined positive (+) threshold, the DC offset compensator  102  decreases the sampled value S k  by one level (½ (n−1)  in the case of n-bit sampling) using a level compensation value L k  to compensate the sampled value S k . Where the accumulated value is smaller than a predetermined negative (−) threshold, the DC offset compensator  102  increases the sampled value S k  by one level using a level compensation value L k  to compensate the sampled value S k . 
   A DC offset is removed from the RF signal through such an arrangement. However, for example, if asymmetry occurs in the RF signal, a large error occurs between output data of the equalizer  106  and a decision level required by the Viterbi detector  112  even if the filter coefficient adjustor  110  detects an optimal FIR filter coefficient. Here, the decision level indicates the magnitude of a predicted sample value used in a branch metric operational unit of the Viterbi detector  112 . 
   Accordingly, where a RF signal is distorted due to asymmetry and disc skew, the detection performance of a Viterbi detector is lowered even if equalization is performed using an optimal FIR filter coefficient. 
   SUMMARY OF THE INVENTION 
   To solve the above problems, it is a first object of the present invention to provide an apparatus for improving data detection performance by adjusting decision levels used in a data detector. 
   It is a second object of the present invention to provide an apparatus for monitoring the output of an equalizer, deciding the reference values, i.e., positive (+) and negative (−) maximum levels, positive (+) and negative (−) medium levels and a zero level, of decision levels used in a Viterbi detector, and feeding back the decided values to the Viterbi detector as the decision levels. 
   It is a third object of the present invention to provide a method of improving data detection performance by adjusting decision levels used in a data detector. 
   It is a fourth object of the present invention to provide a method of monitoring the output of an equalizer, deciding the reference values, i.e., + and − maximum levels, + and − medium levels and a zero level, of decision levels used in a Viterbi detector, and feeding back the decided values to the Viterbi detector as the decision levels. 
   It is a fifth object of the present invention to provide an apparatus for improving the detection performance of a data detector in an optical disc recording/reproducing apparatus. 
   Additional objects and advantages of the invention will be set forth in part in the description which follows, and, in part, will be obvious from the description, or may be learned by practice of the invention. 
   Accordingly, to achieve the above and other objects of the invention, there is provided a data reproducing apparatus including an equalizer which equalizes an input digital signal and a data detector which detects data from the output of the equalizer based on partial response maximum likelihood. The data reproducing apparatus comprises a level decision unit which detects levels corresponding to decision levels used in the data detector from the output of the equalizer and feeds back corrected decision levels to the data detector, the corrected decision level adaptively varying with the output level of the equalizer. 
   There is also provided a method of a data reproducing apparatus comprising an equalizer which equalizes an input digital signal and a data detector which detects data from the output of the equalizer based on partial response maximum likelihood. The data reproducing method comprises equalizing the input digital signal and outputting an equalized signal, detecting data from the equalized signal using decision levels, and detecting levels corresponding to the decision levels from the equalized signal and feeding back corrected decision levels adaptively varying with the level of the equalized signal as the decision levels used in the data detection. 

   
     BRIEF DESCRIPTION OF THE DRAWINGS 
     The above objects and advantages of the present invention will become more apparent by describing in detail preferred embodiments thereof with reference to the attached drawings in which: 
       FIG. 1  is a block diagram illustrating a conventional data reproducing apparatus; 
       FIG. 2  is a block diagram illustrating a data reproducing apparatus according to an embodiment of the present invention; 
       FIG. 3  is a detailed block diagram illustrating the Viterbi level decision unit of  FIG. 2 ; 
       FIG. 4  is a table illustrating the outputs of the level detector and the multiplexer of  FIG. 3  where a PR(a, b, a) type Viterbi detector is used; 
       FIG. 5  is a table illustrating the outputs of the level detector and the multiplexer of  FIG. 3  where a PR(a, b, b, a) type Viterbi detector is used; 
       FIG. 6  is a diagram illustrating a method of detecting + and − medium levels from the output of the equalizer where a PR(a, b, a) type Viterbi detector and a run length limited (RLL) ( 1 ,  7 ) code are used; 
       FIG. 7  is a diagram illustrating a method of detecting + and − maximum levels from the output of the equalizer where a PR(a, b, a) type Viterbi detector and a RLL( 1 ,  7 ) code are used or where a PR(a, b, b, a) type Viterbi detector and a RLL( 2 ,  10 ) code are used; 
       FIG. 8  is a diagram illustrating a method of detecting a zero level from the output of the equalizer where a PR(a, b, b, a) type Viterbi detector and a RLL( 2 ,  10 ) code are used; 
       FIG. 9  is a diagram which illustrates a method of detecting + and − medium levels from the output of the equalizer where a PR(a, b, b, a) type Viterbi detector and a RLL( 2 ,  10 ) code are used; 
       FIG. 10  is a diagram illustrating the differences between the outputs of the equalizer and the decision levels used in the Viterbi detector where asymmetry is 0.7; 
       FIG. 11  is a diagram comparing the detection performance for an input signal having asymmetry where decision levels processed only by the equalizer are used with the detection performance for an input signal having asymmetry where corrected decision levels are used; and 
       FIG. 12  is a diagram illustrating decision levels of the Viterbi detector which have been corrected according to asymmetry. 
   

   DESCRIPTION OF THE PREFERRED EMBODIMENTS 
   Reference will now be made in detail to the present embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to like elements throughout. 
   In  FIG. 2 , which is a block diagram illustrating a data reproducing apparatus according to an embodiment of the present invention, an analog to digital converter (ADC)  200 , a direct current (DC) offset compensator  202  and an adder  204  are the same as ADC  100 , DC offset compensator  102 , and adder  104 , respectively, of the conventional data reproducing apparatus of  FIG. 1 , and thus descriptions of the operations thereof will be omitted. Equalizer  206  and Viterbi detector  214  are the same as equalizer  106  and Viterbi detector  112 , respectively; however, certain inputs are provided differently according to the present invention as more specifically set out below. 
   For example, where the structure of the Viterbi detector  214  is a PR(a, b, a) type, a level error detector  208  initially sets reference values for + and − medium levels and + and − maximum levels, detects the + and − medium levels and the + and − maximum levels from an output signal y k  of the equalizer  206 , and obtains an error e k  between a reference value and a detected level value y k . Where the structure of the Viterbi detector  214  is a PR(a, b, b, a) type, the level error detector  208  initially sets a reference value for a zero level in addition to reference values for + and − medium levels and + and − maximum levels, detects the zero level, the + and − medium levels and the + and − maximum levels from an output signal y k  of the equalizer  206 , and obtains an error e k  between a reference value and a detected level value y k . 
   Where a target level value, that is, the reference value, is represented by t k , the error value e k  is obtained by subtracting the level value y k  detected by the level error detector  208  from the target level value t k  (e k =t k −y k ). Accordingly, a filter coefficient for the equalizer  206  is obtained through an adaptive process performed by an adaptive processor  210  using Equation (1) such that the error e k  is minimized.
 
 W   k+1   =W   k +2  μ·e   k   ·x   k 
 
where W k+1  is an equalizer filter coefficient obtained after adaptation, W k  is an equalizer filter coefficient obtained before adaptation, μ is a coefficient related to an equalizing rate (e.g., 0.001), e k  is a level error, and x k  is a signal obtained by DC offset compensating an input RF signal before equalization.
 
   In this embodiment, an adaptive FIR filter coefficient for the equalizer  206  is detected using the level error detector  208  and the adaptive processor  210 , but the present invention can also be applied to a different configuration of detecting a FIR filter coefficient of the equalizer  206 . 
   A Viterbi level decision unit  212  detects + and − maximum levels, + and − medium levels (where the Viterbi detector  214  is a PR(a, b, a) type or a PR(a, b, b, a) type) and a zero level (where the Viterbi detector  214  is a PR(a, b, b, a) type) from the signal y k , which has been FIR filtered using a filter coefficient obtained after adaptation, in a similar manner to the operation of the level error detector  208 . The Viterbi decision unit  212  obtains averages of each of the detected levels and provides each of the averages as decision levels to the Viterbi detector  214 . Here, the outputs of the Viterbi level decision unit  212  are referred to as corrected decision levels. The Viterbi level decision unit  212  is illustrated in  FIG. 3  in detail. 
   In  FIG. 3 , first through fourth delay units  221 ,  222 ,  223  and  224  temporarily stores a sample data y k  output from the equalizer  206  and output current sample data y k [t+n], 1-sample previous data y k [t+n−1], 2-sample previous data y k [t+n−2] and 3-sample previous data y k [t+n−3], respectively. 
   A level detector  230  realized as a comparative logic circuit detects + and − medium levels, + and − maximum levels and a zero level from the outputs of the first, second and third delay units  221 ,  222  and  223  and provides + and − medium level enable signals en 1  and en 2 , + and − maximum level enable signals en 3  and en 4 , and a zero level enable signal en 5  to respective first through fifth averagers  251 ,  252 ,  253 ,  254  and  255 . The level detector  230  also provides first and second selection signals SEL 0  and SEL 1  to a multiplexer (MUX)  240 . The enable signals en 1 , en 2 , en 3 , en 4  and en 5  can be referred to as first through fifth level decision signals. 
   In other words, when the Viterbi detector  214  is a PR(a, b, a) type, the level detector  230  determines that zero cross occurs at a point where the product of two consecutive sample data is smaller than zero and detects one of the two samples as a + medium level and the other as a − medium level. Where it is determined that three consecutive sample data exceed a predetermined threshold, the level detector  230  detects the central sample data among them as a + maximum level. Where it is determined that three consecutive sample data are smaller than the predetermined threshold, the level detector  230  detects the central sample data among them as a − maximum level. 
   Where the Viterbi detector  214  is a PR(a, b, b, a) type, the level detector  230  performs the same process as performed where the Viterbi detector  214  is a PR(a, b, a) type to detect + and − maximum levels; determines that zero cross occurs at a point where the product of two consecutive sample data is smaller than or equal to zero and detects sample data having a lower absolute value between the two sample data as a zero level; determines that zero cross occurs at a point where the product of two consecutive sample data is smaller than or equal to zero, compares the absolute values of the two sample data to each other, detects one sample data having an absolute value equal to or larger than that of the other sample data as a + medium level if the one sample data is larger than zero, detects the one sample data having an absolute value equal to or larger than that of the other sample data as a − medium level if the one sample data is smaller than zero, detects sample data preceding to the two consecutive sample data as a − or + medium level if the latter sample data of the two consecutive sample data is larger than zero, and detects sample data succeeding the compared two consecutive sample data as a − or + medium level if the former sample data of the two consecutive sample data is larger than zero. 
     FIG. 4  is a table showing the + and − medium level enable signals en 1  and en 2 , +MID and −MID, respectively, + and − maximum level enable signals en 3  and en 4 , +MAX and −MAX respectively, a zero level enable signal en 5 , ZER 0 , and the first and second selection signals SEL 1  and SEL 0  which are provided by the level detector  230  and the output of the MUX  240 , where the Viterbi detector  214  of  FIG. 2  is a PR(a, b, a) type. 
     FIG. 5  is a table showing the + and − medium level enable signals en 1  and en 2 , +MID and −MID, respectively, + and − maximum level enable signals en 3  and en 4 , +MAX and −MAX respectively, a zero level enable signal en 5 , ZER 0 , and the first and second selection signals SEL 1  and SEL 0  which are provided by the level detector  230  and the output of the MUX  240 , where the Viterbi detector  214  of  FIG. 2  is a PR(a, b, b, a) type. 
   The MUX  240  selects one among the outputs D, B, C, and A, corresponding to the first through fourth delay units  221  through  224 , respectively, in response to the selection signals SEL 0  and SEL 1  provided from the level detector  230  and sends the selected one to the first through fifth averagers  251  through  255 . 
   The first and second averagers  251  and  252  are enabled in response to the respective + and − medium level enable signals en 1  and en 2 . When the Viterbi detector  214  is a PR(a, b, a) type, the product of two sample data y k [t+n−1] and y k [t+n] is smaller than zero, and the sample data y k [t+n] is larger than zero, the first averager  251  averages the outputs y k [t+n−1] of the second delay unit  222 , which are provided through the MUX  240  and determined as the + medium level, and provides the averaged result as a corrected + medium level, and the second averager  252  averages the output y k [t+n] of the first delay unit  221 , which is provided through the MUX  240  and determined as the − medium level, and provides the averaged result as a corrected − medium level. Where the sample data y k [t+n] is equal to or smaller than zero, the first averager  251  averages the outputs y k [t+n] of the first delay unit  221 , which are provided through the MUX  240  and determined as the + medium level, and provides the averaged result as a corrected + medium level, and the second averager  252  averages the output y k [t+n−1] of the second delay unit  222 , which are provided through the MUX  240  and determined as the − medium level, and provides the averaged result as a corrected − medium level. The outputs which are averaged by the first, second, third, fourth and fifth averagers are outputs which are provided sequentially by MUX  240  and which are enabled by the enable signals en 1 , en 2 , en 3 , en 4  and en 5 , respectively. 
   When the Viterbi detector  214  is a PR(a, b, b, a) type, the product of two successive sample data y k [t+n−2] and y k [t+n−1] is equal to or smaller than zero, the absolute value of the sample data y k [t+n−1] is larger than the absolute value of the sample data y k [t+n−2], and the latter sample data y k [t+n−1] of the two consecutive sample data y k [t+n−2] and y k [t+n−1] is larger than zero, the first and second averagers  251  and  252  respectively average the outputs y k [t+n−3] of the fourth delay unit  224  determined as the + medium level and the outputs y k [t+n−1] of the second delay unit  222  determined as the − medium level, which are provided through the MUX  240 , and provide the averaged results as a corrected + medium level and a corrected − medium level, respectively. When the latter sample data y k [t+n−1] is equal to or smaller than zero, the first and second averagers  251  and  252  respectively average the outputs y k [t+n−1] of the second delay unit  222  determined as the + medium level and the outputs y k [t+n−3] of the fourth delay unit  224  determined as the − medium level, which are provided through the MUX  240 , and provide the averaged results as a corrected + medium level and a corrected − medium level, respectively. 
   Where the product of two sample data y k [t+n−2] and y k [t+n−1] is equal to or smaller than zero, the absolute value of the sample data y k [t+n−2] is larger than that of the sample data y k [t+n−1], and the former sample data y k [t+n−2] of the two consecutive sample data y k [t+n−2] and y k [t+n−1] is larger than zero, the first and second averagers  251  and  252  respectively average the outputs y k [t+n−2] of the third delay unit  223  determined as the + medium level and the outputs y k [t+n] of the first delay unit  221  determined as the − medium level, which are provided through the MUX  240 , and provide the averaged results as a corrected + medium level and a corrected − medium level, respectively. Where the former data y k [t+n−2] is equal to or smaller than zero, the first and second averagers  251  and  252  respectively average the outputs y k [t+n] of the first delay unit  221  determined as the + medium level and the outputs y k [t+n−2] of the third delay unit  223  determined as the − medium level, which are provided through the MUX  240 , and provide the averaged results as a corrected + medium level and a corrected − medium level, respectively. 
   The third averager  253  is enabled in response to the + maximum level enable signal en 3 . Where the three consecutive sample data y k [t+n−2], y k [t+n−1] and y k [t+n] are larger than a threshold Th, the third averager  253  averages the outputs y k [t+n−1] of the second delay unit  222 , which have been determined as the + maximum level and provided through the MUX  240 , and provides the averaged result as a corrected + maximum level. The fourth averager  254  is enabled in response to the − maximum level enable signal en 4 . Where the three consecutive sample data y k [t+n−2], y k [t+n−1] and y k [t+n] are smaller than the threshold Th, the fourth averager  254  averages the outputs y k [t+n−1] of the second delay unit  222 , which have been determined as the − maximum level and provided through the MUX  240 , and provides the averaged result as a corrected − maximum level. 
   The fifth averager  255  operates only where the Viterbi detector  214  is a PR(a, b, b, a) type and is enabled in response to the zero level enable signal en 5 . Where the product of the two sample data y k [t+n−1] and y k [t+n] is equal to or smaller than zero, and the absolute value of the sample data y k [t+n] is equal to or larger than that of the sample data y k [t+n−1], the fifth averager  255  averages the outputs y k [t+n−1] of the second delay unit  222 , which have been determined as the zero level and provided through the MUX  240 , and provides the averaged result as a corrected zero level. Where the absolute value of the sample data y k [t+n] is smaller than that of the sample data y k [t+n−1], the fifth averager  255  averages the outputs y k [t+n] of the first delay unit  221 , which have been determined as the zero level and provided through the MUX  240 , and provides the averaged result as a corrected zero level. 
     FIG. 6  is a flowchart illustrating a method of detecting + and − medium levels from the output value of the equalizer  206  where a Viterbi detector  214  of a PR(a, b, a) type and a run length limited (RLL) ( 1 ,  7 ) code are used. The method is performed by the level detector  230  of FIG.  3 . Here, the minimum run length of the RLL code is represented by “d (=1)”, and the maximum thereof is represented by “k (=7)”. 
   In operation S 101 , it is determined whether the product of two consecutive sample data y k [t+n−1] and y k [t+n], which are provided from the first and second delay units  221  and  222 , is smaller than zero. If it is determined that the product is smaller than zero, one (here, the sample data y k [t+n−1]) of the two sample data is selected, and it is determined whether the selected sample data is larger than zero, in operation S 102 . Here, sample data larger than zero is determined as a + medium level, and sample data smaller than zero is determined as a − medium level. In other words, where the sample data y k [t+n−1] is larger than zero, the sample data y k [t+n−1] output from the second delay unit  222  is detected as the + medium level, and the sample data y k [t+n] output from the first delay unit  221  is detected as the − medium level, in step S 103 . Then, in operation S 104 , a + medium level enable signal en 1  and a − medium level enable signal en 2  are output. 
   If it is determined that the sample data y k [t+n−1] is not larger than zero in operation S 102 , the sample data y k [t+n−1] output from the second delay unit  22  is detected as the − medium level, and the sample data y k [t+n] output from the first delay unit  221  is detected as the + medium level, in operation S 105 . Then, in operation S 106 , the + medium level enable signal en 1  and the − medium level enable signal en 2  are output. Where the product of the consecutive two sample data is equal to or larger than zero in operation S 101 , or where the operation S 104  or S 106  is completed, the operations S 101  through S 106  are repeatedly performed through operation S 107  to detect + and − medium levels from a next sample. 
     FIG. 7  is a flowchart illustrating a method of detecting + and − maximum levels from the output value of the equalizer  206  where a Viterbi detector  214  of a PR(a, b, a) type and a run length limited (RLL) ( 1 ,  7 ) code are used, or where a Viterbi detector  214  of a PR(a, b, b, a) type and a run length limited (RLL) ( 2 ,  10 ) code are used. The method is performed by the level detector  230  of FIG.  3 . 
   In operation S 201 , three consecutive sample data y k [t+n−2], y k [t+n−1] and y k [t+n] output from the first through third delay units  221  through  223  are checked whether they are all larger than a threshold Th. If the three successive sample data are all larger than the threshold Th, the central sample data y k [t+n−1] output from the second delay unit  222 , among the three consecutive data y k [t+n−2], y k [t+n−1] and y k [t+n], is detected as a + maximum level in operation S 202 . Then, in operation S 203 , a + maximum level enable signal en 3  is output. 
   If it is determined that any one of the three consecutive sample data y k [t+n−2], y k [t+n−1] and y k [t+n] is smaller than the threshold Th in operation S 201 , it is determined in operation S 204  whether the three consecutive sample data y k [t+n−2], y k [t+n−1] and y k [t+n] are all smaller than the threshold Th. If it is determined that the three successive sample data are all smaller than the threshold Th, the central sample data y k [t+n−1] output from the second delay unit  222  is detected as the − maximum level in operation S 205 . Then, in operation S 206 , a − maximum level enable signal en 4  is output. 
   Where it is determined that one of the three consecutive sample data y k [t+n−2], y k [t+n−1] and y k [t+n] is equal to or larger than the threshold Th in operation S 204 , or where the operation S 203  or S 206  is completed, the operations S 210  through S 206  are repeated through operation S 207  to detect + and − maximum levels from a next sample. 
     FIG. 8  is a flowchart illustrating a method of detecting a zero level from the output value of the equalizer  206  where the Viterbi detector  214  of a PR(a, b, b, a) type and a run length limited (RLL) ( 2 ,  10 ) code are used. The method is performed by the level detector  230  of FIG.  3 . 
   In operation S 301 , two consecutive sample data y k [t+n−1] and y k [t+n] output from the first and second delay units  221  and  222  are checked to determine whether the product of the two consecutive sample data y k [t+n−1] and y k [t+n] is equal to or smaller than zero. If the product is equal to or smaller than zero, the absolute values of the two consecutive sample data y k [t+n−1] and y k [t+n] are compared in operation S 302 . 
   In more detail, where the absolute value of former sample data y k [t+n−1] between the two consecutive sample data y k [t+n−1] and y k [t+n] is smaller than or equal to the absolute value of the latter sample data y k [t+n], the sample data y k [t+n−1] output from the second delay unit  222  is detected as a zero level in operation S 303 . Then, in operation S 304 , a zero level enable signal en 5  is output. Where it is determined that the absolute value of the latter sample data y k [t+n] is smaller than that of the former sample data y k [t+n−1] in operation S 302 , the sample data y k [t+n] output from the first delay unit  221  is detected as a zero level in operation S 305 . Then, in operation S 306 , a zero level enable signal en 5  is output. Where the product of the two consecutive sample data y k [t+n−1] and y k [t+n] is larger than zero in operation S 301 , or where the operation S 304  or S 306  is completed, the operations S 301  through S 306  are repeated through operation S 307  to detect a zero level from a next sample. 
     FIG. 9  is a flowchart illustrating a method of detecting + and − medium levels from an output value of the equalizer  206  where a Viterbi detector  214  of a PR(a, b, b, a) type and a run length limited (RLL) ( 2 ,  10 ) code are used. The method is performed by the level detector  230  of FIG.  3 . 
   In operation S 401 , two consecutive sample data y k [t+n−2] and y k [t+n−1] output from the second and third delay units  222  and  223  are checked to determine whether the product of the two consecutive sample data y k [t+n−2] and y k [t+n−1] is equal to or smaller than zero. If the product is equal to or smaller than zero, the absolute values of the two consecutive sample data y k [t+n−2] and y k [t+n−1] are compared with each other in operation S 402 . Where the one sample data of the two consecutive sample data, whose absolute value is equal to or larger than the absolute value of the other of the two consecutive sample data y k [t+n−2] and y k [t+n−1] is larger than zero, the one sample data is detected as a + medium level. Where the one sample data of the two consecutive sample data, whose absolute value is equal to or larger than the absolute value of the other of the two consecutive sample data is smaller than zero, the one sample data is detected as a − medium level. Where the sample data having a smaller absolute value is larger than zero, the sample data is detected as a + medium level. Alternatively, where the sample data having a smaller absolute value is smaller than zero, the sample data is detected as a − medium level. 
   In more detail, where the latter sample data y k [t+n−1] between the two consecutive sample data y k [t+n−2] and y k [t+n−1] is larger than zero in operation S 403 , the latter sample data y k [t+n−1] output from the second delay unit  222  is detected as the + medium level, and sample data y k [t+n−3] output from the fourth delay unit  224  preceding the compared two sample data is detected as the − medium level, in operation S 404 . Then, in operation S 405 , a + medium level enable signal en 1  and a − medium level enable signal en 2  are output. 
   Where the latter sample data y k [t+n−1] between the compared two sample data is not larger than zero in operation S 403 , the latter sample data y k [t+n−1] output from the second delay unit  222  is detected as the − medium level, and the sample data y k [t+n−3] output from the fourth delay unit  224  preceding the compared two sample data is detected as the + medium level, in operation S 406 . Then, in operation S 407 , a + medium level enable signal en 1  and a medium level enable signal en 2  are output. 
   Where the former sample data y k [t+n−2] between the compared two consecutive sample data y k [t+n−2] and y k [t+n−1] is larger than zero in operation S 408 , the former sample data y k [t+n−2] output from the third delay unit  223  is detected as the + medium level, and sample data y k [t+n] output from the first delay unit  221  succeeding the compared two sample data is detected as the − medium level, in operation S 409 . Then, in operation S 410 , a + medium level enable signal en 1  and a − medium level enable signal en 2  are output. 
   Where the former sample data y k [t+n−2] is not larger than zero in operation S 408 , the former sample data y k [t+n−2] output from the third delay unit  223  is detected as the − medium level, and sample data y k [t+n] output from the first delay unit  221  succeeding the compared two sample data is detected as the + medium level, in operation S 411 . Then, in operation S 412 , a − medium level enable signal en 2  and a + medium level enable signal en 1  are output. 
   Where the product of the two consecutive sample data is larger than zero in operation S 401 , or where the operation S 405 , S 407 , S 410  or S 412  is completed, the operations S 401  through S 412  are repeated through operation S 413  to detect + and − medium levels from a next sample. 
   The detecting methods illustrated in  FIGS. 6 through 9  can be applied to level error detection performed by the level error detector of FIG.  2 . 
     FIG. 10  is a diagram illustrating differences between outputs of the equalizer  206  and decision levels of the Viterbi detector  214  where the Viterbi detector is a PR( 1 ,  2 ,  2 ,  1 ) type, and asymmetry is 0.7 (about 20%). Where the output level y k  of the equalizer  206  is normal, it is supposed that the + and − maximum levels are +1 and −1, the + and − medium levels are +0.67 and −0.67, and the zero level is 0. However, it actually appears that the + and − maximum levels are +1.05 and −0.86, the + and − medium levels are +0.58 and −0.59, and the zero level is −0.007. These differences are accumulated at the Viterbi detector  214  as an error, thereby degrading the detection performance. 
   This means that an actual output waveform of the equalizer  206  is not like a waveform that is modeled in the PR( 1 ,  2 ,  2 ,  1 ) type Viterbi detector  214 . In particular, where a component such as asymmetry exists, an error is much larger. Accordingly, the detection levels of the Viterbi detector  214  are corrected to correct such an error. Where decision levels corrected by the Viterbi level decision unit  212  according to the present invention are used, the detection performance for an input signal having asymmetry is improved, as shown in FIG.  11 . 
     FIG. 11  is a diagram comparing the detection performance for an input signal having asymmetry, where decision levels are processed only by the equalizer  206 , with the detection performance for an input signal having asymmetry, where decision levels are corrected by the Viterbi level decision unit  212 . The diagram is related to a RLL( 2 ,  10 ) code and a Viterbi detector  214  of a PR( 1 ,  2 ,  2 ,  1 ) type. It can be seen that the data detection performance where the decision levels corrected by the Viterbi level decision unit  212  are used in the Viterbi detector  214  is better than that where the decision levels processed only by the equalizer  206  are used in the Viterbi detector  214 . 
     FIG. 12  is a diagram illustrating the variations of the decision levels of the Viterbi detector which have been corrected according to asymmetry. As asymmetry is larger, the variations of the + and − maximum levels are larger than those of the zero level and the + and − medium levels. 
   As described above, the present invention monitors the output of an equalizer, determines + and − maximum levels, + and − medium levels and a zero level, which are the reference values of decision levels used in a Viterbi detector, and uses the determined levels as the decision levels for the Viterbi detector, thereby improving a data bit error rate. Consequently, the present invention can improve data detection performance. 
   Although a few embodiments of the present invention have been shown and described, it would be appreciated by those skilled in the art that changes may be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the claims and their equivalents.

Technology Category: 3