Patent Abstract:
In iterative decoding, a data recovery scheme corrects for corrupted or defective data by incorporating results from a previous decoding iteration. In one embodiment, a final multiplexer selects between the final detector output or a previous detector output based on the absence or presence of defective data. In another embodiment, the branch metrics for the defective data, which otherwise would be combined with a priori LLRs from an outer decoder of a prior stage, are ignored so that the a priori LLRs themselves are used alone. The two embodiments can be used together.

Full Description:
CROSS REFERENCE TO RELATED APPLICATION 
     This claims the benefit of copending U.S. Provisional Patent Application No. 60/864,871, filed Nov. 8, 2006, which is hereby incorporated by reference herein in its entirety. 
    
    
     BACKGROUND 
     This invention relates to a method and apparatus for optimizing recovery from defects in a data channel that uses iterative decoding. 
     In many applications, data—e.g., on a communication channel or in the read channel of a data storage device—is encoded using an outer code. Examples of such codes include turbo codes, Low-Density Parity Check (LDPC) codes, and convolutional codes. Encoded data from an outer code are often interleaved before being transmitted over a data channel. In that data channel, the signal might become corrupted with noise or defects. On the receiver side, the received signal can be decoded using an iterative decoding principle often referred to as turbo decoding. A feature of turbo decoding is that decoding includes multiple stages, each of which includes a detection/equalization block and an outer decoder block. For example, the signal from a detector front end, which may be a finite impulse response (FIR) filter, may be processed by a soft detector—such as a Soft Output Viterbi Algorithm (SOYA) or a Bahl-Cocke-Jelinek-Raviv (BCJR) detector—that operates on branch metrics computed from the FIR signal. 
     The soft detector provides two outputs—(i) hard decisions for the detected signal and (ii) extrinsic log-likelihood ratios (LLRs), which indicate new reliability information generated by the detector for each of the hard decisions. These LLRs are then de-interleaved and passed to the outer decoder for further processing. The outer soft decoder then provides its own hard decisions as well as new extrinsic LLRs. These LLRs from the outer decoder are then passed to the soft detector as a priori LLRs after interleaving. In the next round of iterative decoding, the soft detector generates new extrinsic LLRs, taking both the a priori LLRs and the FIR signal as inputs. For the first iteration, the a priori LLR inputs to the soft detector are all set to zero. This iterative decoding between soft detector and the outer decoder is carried out until a maximum number of iterations are reached, or a valid code word is found. In the case of an LDPC code, interleaving is inherently embedded inside the LDPC code and hence a separate interleaver and de-interleaver are not required. Iterations can be stopped at the detector or the decoder output. 
     There are many well-known methods for dealing with channel noise. However, channel defects—i.e., data corruption of a magnitude much greater than noise—must be dealt with differently. In the presence of a channel defect, the FIR signal at the input of the detector is corrupted and thus hard decisions provided by the detector are not reliable and are often in error. A corrupted FIR signal may also cause error propagation to the bits adjacent to the defect location in detector hard decisions. These errors can further propagate in iterative decoding through unreliable extrinsic LLRs at the defect location. 
     It therefore would be desirable to be able to provide more reliable defect recovery for an iteratively-decoded channel. 
     SUMMARY 
     In accordance with the invention, iterations, which may be stopped at the detector or the decoder as discussed above, are stopped at the detector. Typically, defects are dealt with by erasing (setting to zero) the detector output LLRs for the affected bit positions, before passing them to the outer decoder. In an iteratively-decoded channel, for a defective bit position, the outer decoder in a previous stage may have more reliable information than the soft detector, because it sees the erased LLRs at the defect location at its input and it also can benefit from the code structure. Therefore, in accordance with one embodiment of the present invention, when a defective bit is detected, instead of taking the output from the detector, the output of the decoder from the previous stage preferably is used as the output. 
     In another embodiment, which may be used separately from, or together with, the first embodiment, the branch metrics for the corrupt or defective data are zeroed on the input to the soft detector, so that only a priori LLRs from the outer decoder from the previous stage are used. 
     Therefore, in accordance with the present invention, there is provided a method for recovering from a defect when decoding a data channel that uses iterative decoding. The method includes, on detection of a defect, discounting data associated with the defect, and basing the result of decoding on outer decoder output from a previous stage. 
     Apparatus for carrying out the method also is provided. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       The above and other advantages of the invention will be apparent upon consideration of the following detailed description, taken in conjunction with the accompanying drawings, in which like reference characters refer to like parts throughout, and in which: 
         FIG. 1  is a schematic view of a known iteratively-decoded data channel; 
         FIG. 2  is a schematic view of an iteratively-decoded data channel in accordance with one preferred embodiment of the present invention; 
         FIG. 3  is a schematic view of a portion of a processing stage of a data channel in accordance with another preferred embodiment of the present invention; 
         FIG. 4  is a block diagram of an exemplary hard disk drive that can employ the disclosed technology; 
         FIG. 5  is a block diagram of an exemplary digital versatile disc drive that can employ the disclosed technology; 
         FIG. 6  is a block diagram of an exemplary high definition television that can employ the disclosed technology; 
         FIG. 7  is a block diagram of an exemplary vehicle that can employ the disclosed technology; 
         FIG. 8  is a block diagram of an exemplary cellular telephone that can employ the disclosed technology; 
         FIG. 9  is a block diagram of an exemplary set top box that can employ the disclosed technology; and 
         FIG. 10  is a block diagram of an exemplary media player that can employ the disclosed technology. 
     
    
    
     DETAILED DESCRIPTION 
     The present invention relies on the presence of better data in a previous stage of an iteratively decoded channel to estimate the correct data in a corrupt or defective data region. This can be applied to the iterative decoder portion of the data channel or to the computation of the branch metrics, or both. 
     The invention will now be described with reference to  FIGS. 1-3 . 
       FIG. 1  represents a known data channel  100  in which user data are input at  101 , encoded using an outer code  102 , such as a turbo code, an LDPC code or a convolutional code, interleaved at  103 , and then communicated or read in channel  104 , where defects  105  and noise  106  may be introduced. Decoder portion  10  is exemplary of a known iteratively-decoded channel. Equalized data from the detector front end (e.g., a FIR filter; not shown) are input at  11 . Decoder portion  10  in this example includes a soft decoder  12 . In this example, soft decoder  12  includes a SOVA detector, which produces non-return-to-zero (NRZ) output  121 , and LLR output  122 , and an outer decoder  13  (e.g., an LDPC decoder, a turbo decoder or a convolutional decoder. LLR output  122  of detector  12  passes through de-interleaver  14  before serving as input to outer decoder  13 . Outer decoder  13  provides hard decisions  131  and LLR output  132 . LLR output  132  passes through interleaver  15  which provides de-interleaved LLRs as a priori LLR inputs  16  to detector  12 . As indicated by arrows  17 , detector  12  and outer decoder  13  are used iteratively—e.g., there may be three iterations—and detector output  121  is used as the decoded output—i.e., detector  12  is the last stage in the iterative decoding process. As stated above, when corrupt or defective data are detected, LLRs are set to zero—e.g., using multiplexer  18  to select a “0” instead of the LLR—at the defective bit locations. As a result, there is no contribution to the output from defective data. 
       FIG. 2  illustrates iterative decoder portion  20  according to one embodiment of the present invention, which replaces decoder portion  10 . Decoder portion  20  resembles decoder portion  10  (although in  FIG. 2  the individual iterations are drawn as different stages  22 ,  23 ,  24 ). Because iterative decoding is stopped at the output of SOVA detector  24 , stage  24  does not contain an outer decoder and does not need to output soft information (LLRs). A selector (e.g., a multiplexer)  21  is provided at the output. Selector  21  selects either the output (NRZ 3 )  241  of soft detector  24  or the output (NRZ 2 ′)  233  of an outer decoder  230  of immediately preceding decoder stage  23 , under control of selection signal  210 . Signal  210  preferably selects output  241  when there is no defect detected in the data, but preferably selects output  233  when there is a defect. As discussed above, this produces a more reliable result, because the outer decoder  230  sees the erased LLRs at the defect location at the input and it also benefits from the code structure whereby LLRs from unaffected locations assist in decoding bits at the defect location. In that way, one is always relying on prior reliable data through the defective data interval. 
       FIG. 3  shows one stage  30  of a SOVA detector similar to one included in each stage  22 ,  23 ,  24 , modified in accordance with a second embodiment of the present invention. Detector stage  30  is similar to a typical SOVA detector in that it includes branch metric computation units  31  (BM 1 -BMX), Viterbi add-compare-select (ACS) circuitry  32  to compute the NRZ output  320 , and traceback circuitry  33  to compute the LLR output  321 . A priori LLR processor  34  takes into account a priori LLR values to provide branch metric offset values that are combined with the branch metrics by adders  340  to provide offset branch metrics  341 . 
     In accordance with this embodiment of the invention, selectors  35  (e.g., multiplexers) are provided in each of the branches. Under control of a defect flag signal  36 , during defective data intervals, selectors  35  zero out the contributions from the branch metrics. Thus, during a defective data interval, the offset branch metrics  341  represent only the contributions of a priori LLR processor  34 . Although those contributions are smaller than the combined results when the branch metrics are included, ACS circuitry  32  operates primarily on the relative values of its inputs, and so the NRZ results are reliable even when selectors  35  zero out the branch metrics. As in the case of the first embodiment, this embodiment ignores the defective data in favor of more reliable a priori LLRs from an outer decoder. 
     Although not explicitly shown, it will be apparent that the first and second embodiments can be used together. That is, one may have a decoder portion  20 / 30  in which, at the front end, the branch metrics are used if the input data are valid but are not used if the input data are defective, as in  FIG. 3 , while at the output end the result of the final soft detector is used if the input data are valid but the result of the outer decoder from the previous stage is used if the input data are defective, as in  FIG. 2 . 
     Referring now to  FIGS. 4 and 5 , two exemplary implementations of the present invention are shown. 
     Referring now to  FIG. 4  the present invention can be implemented in a hard disk drive  600 . The present invention may implement either or both signal processing and/or control circuits, which are generally identified in  FIG. 4  at  602 . In some implementations, the signal processing and/or control circuit  602  and/or other circuits (not shown) in the HDD  600  may process data, perform coding and/or encryption, perform calculations, and/or format data that is output to and/or received from a magnetic storage medium  606 . 
     The HDD  600  may communicate with a host device (not shown) such as a computer, mobile computing devices such as personal digital assistants, cellular telephones, media or MP3 players and the like, and/or other devices, via one or more wired or wireless communication links  608 . The HDD  600  may be connected to memory  609  such as random access memory (RAM), low latency nonvolatile memory such as flash memory, read only memory (ROM) and/or other suitable electronic data storage. 
     Referring now to  FIG. 5  the present invention can be implemented in a digital versatile disk (DVD) drive  700 . The present invention may implement either or both signal processing and/or control circuits, which are generally identified in  FIG. 5  at  702 , and/or mass data storage of the DVD drive  700 . The signal processing and/or control circuit  702  and/or other circuits (not shown) in the DVD drive  700  may process data, perform coding and/or encryption, perform calculations, and/or format data that is read from and/or data written to an optical storage medium  706 . In some implementations, the signal processing and/or control circuit  702  and/or other circuits (not shown) in the DVD drive  700  can also perform other functions such as encoding and/or decoding and/or any other signal processing functions associated with a DVD drive. 
     DVD drive  700  may communicate with an output device (not shown) such as a computer, television or other device, via one or more wired or wireless communication links  707 . The DVD drive  700  may communicate with mass data storage  708  that stores data in a nonvolatile manner. The mass data storage  708  may include a hard disk drive (HDD). The HDD may be a mini-HDD that includes one or more platters having a diameter that is smaller than approximately 1.8″. The DVD drive  700  may be connected to memory  709  such as RAM, ROM, low-latency nonvolatile memory such as flash memory, and/or other suitable electronic data storage. 
     Referring now to  FIG. 6 , the present invention can be implemented in a high definition television (HDTV)  800 . The present invention may implement either or both signal processing and/or control circuits, which are generally identified in  FIG. 6  at  822 , a WLAN interface and/or mass data storage of the HDTV  800 . The HDTV  800  receives HDTV input signals in either a wired or wireless format and generates HDTV output signals for a display  826 . In some implementations, signal processing circuit and/or control circuit  822  and/or other circuits (not shown) of the HDTV  800  may process data, perform coding and/or encryption, perform calculations, format data and/or perform any other type of HDTV processing that may be required. 
     The HDTV  800  may communicate with mass data storage  827  that stores data in a nonvolatile manner such as optical and/or magnetic storage devices. At least one DVD drive may have the configuration shown in  FIG. 5 . The HDTV  800  may be connected to memory  828  such as RAM, ROM, low-latency nonvolatile memory such as flash memory, and/or other suitable electronic data storage. The HDTV  800  also may support connections with a WLAN via a WLAN network interface  829 . 
     Referring now to  FIG. 7 , the present invention implements a control system of a vehicle  900 , a WLAN interface and/or mass data storage of the vehicle control system. In some implementations, the present invention may implement a powertrain control system  932  that receives inputs from one or more sensors such as temperature sensors, pressure sensors, rotational sensors, airflow sensors and/or any other suitable sensors and/or that generates one or more output control signals such as engine operating parameters, transmission operating parameters, and/or other control signals. 
     The present invention may also be implemented in other control systems  940  of the vehicle  900 . The control system  940  may likewise receive signals from input sensors  942  and/or output control signals to one or more output devices  944 . In some implementations, the control system  940  may be part of an anti-lock braking system (ABS), a navigation system, a telematics system, a vehicle telematics system, a lane departure system, an adaptive cruise control system, a vehicle entertainment system such as a stereo, DVD, compact disc and the like. Still other implementations are contemplated. 
     The powertrain control system  932  may communicate with mass data storage  946  that stores data in a nonvolatile manner. The mass data storage  946  may include optical and/or magnetic storage devices for example hard disk drives HDD and/or DVDs. At least one DVD drive may have the configuration shown in  FIG. 5 . The powertrain control system  932  may be connected to memory  947  such as RAM, ROM, low latency nonvolatile memory such as flash memory, and/or other suitable electronic data storage. The powertrain control system  932  also may support connections with a WLAN via a WLAN network interface  948 . The control system  940  may also include mass data storage, memory and/or a WLAN interface (none shown). 
     Referring now to  FIG. 8 , the present invention can be implemented in a cellular telephone  1000  that may include a cellular antenna  1051 . The present invention may implement either or both signal processing and/or control circuits, which are generally identified in  FIG. 8  at  1052 , a WLAN interface and/or mass data storage of the cellular phone  1000 . In some implementations, the cellular telephone  1000  includes a microphone  1056 , an audio output  1058  such as a speaker and/or audio output jack, a display  1060  and/or an input device  1062  such as a keypad, pointing device, voice actuation and/or other input device. The signal processing and/or control circuits  1052  and/or other circuits (not shown) in the cellular telephone  1050  may process data, perform coding and/or encryption, perform calculations, format data and/or perform other cellular telephone functions. 
     The cellular telephone  1000  may communicate with mass data storage  1064  that stores data in a nonvolatile manner such as optical and/or magnetic storage devices—for example hard disk drives (HDDs) and/or DVDs. At least one DVD drive may have the configuration shown in  FIG. 5 . The HDD may be a mini-HDD that includes one or more platters having a diameter that is smaller than approximately 1.8″. The cellular telephone  1000  may be connected to memory  1066  such as RAM, ROM, low-latency nonvolatile memory such as flash memory, and/or other suitable electronic data storage. The cellular telephone  1000  also may support connections with a WLAN via a WLAN network interface  1068 . 
     Referring now to  FIG. 9 , the present invention can be implemented in a set top box  1100 . The present invention may implement either or both signal processing and/or control circuits, which are generally identified in  FIG. 9  at  1184 , a WLAN interface and/or mass data storage of the set top box  1100 . Set top box  1100  receives signals from a source  1182  such as a broadband source and outputs standard and/or high definition audio/video signals suitable for a display  1188  such as a television and/or monitor and/or other video and/or audio output devices. The signal processing and/or control circuits  1184  and/or other circuits (not shown) of the set top box  1100  may process data, perform coding and/or encryption, perform calculations, format data and/or perform any other set top box function. 
     Set top box  1100  may communicate with mass data storage  1190  that stores data in a nonvolatile manner. The mass data storage  1190  may include optical and/or magnetic storage devices for example hard disk drives HDD and/or DVDs. At least one DVD drive may have the configuration shown in  FIG. 5 . Set top box  1100  may be connected to memory  1194  such as RAM, ROM, low-latency nonvolatile memory such as flash memory, and/or other suitable electronic data storage. Set top box  1100  also may support connections with a WLAN via a WLAN network interface  1196 . 
     Referring now to  FIG. 10 , the present invention can be implemented in a media player  1200 . The present invention may implement either or both signal processing and/or control circuits, which are generally identified in  FIG. 10  at  1204 , a WLAN interface and/or mass data storage of the media player  1200 . In some implementations, the media player  1200  includes a display  1207  and/or a user input  1208  such as a keypad, touchpad and the like. In some implementations, the media player  1200  may employ a graphical user interface (GUI) that typically employs menus, drop down menus, icons and/or a point-and-click interface via the display  1207  and/or user input  1208 . Media player  1200  further includes an audio output  1209  such as a speaker and/or audio output jack. The signal processing and/or control circuits  1204  and/or other circuits (not shown) of media player  1200  may process data, perform coding and/or encryption, perform calculations, format data and/or perform any other media player function. 
     Media player  1200  may communicate with mass data storage  1210  that stores data such as compressed audio and/or video content in a nonvolatile manner. In some implementations, the compressed audio files include files that are compliant with MP3 format or other suitable compressed audio and/or video formats. The mass data storage may include optical and/or magnetic storage devices for example hard disk drives HDD and/or DVDs. At least one DVD drive may have the configuration shown in  FIG. 5 . Media player  1200  may be connected to memory  1214  such as RAM, ROM, low-latency nonvolatile memory such as flash memory, and/or other suitable electronic data storage. Media player  1200  also may support connections with a WLAN via a WLAN network interface  1216 . Still other implementations in addition to those described above are contemplated. 
     It will be understood that the foregoing is only illustrative of the principles of the invention, and that the invention can be practiced by other than the described embodiments, which are presented for purposes of illustration and not of limitation, and the present invention is limited only by the claims which follow.

Technology Classification (CPC): 7