Moving target indication unit

Abstract: Moving target indication unit provided with a doppler filter bank (1) with n output channels A i (i = 0, 1, 2, ..., n-1), several threshold circuits (24.i) connected to the output channels, a detection and registration unit (7, 14, 18, 23) provided with means (7, 14, 18) for the determination and registration, per azimuth cell, of a parameter for the amount of clutter in an azimuth cell. The said means are further suitable for determining, based on the output signals of the filter bank (1), k (k ≧ 2) parameters per azimuth cell and processing per azimuth cell the combination of k parameters to obtain n threshold values, used to set the n threshold circuits.

Description: The present invention relates to a moving target indication unit provided with a doppler filter bank having n output channels A i , i = 0, ..., n-1, with n threshold circuits connected thereto, and determination and registration means for setting the threshold circuit connected to each output channel per azimuth cell on the basis of received echo signals from the output channels of the doppler filter bank. Such a system is known from FR-A 2.410.286. In this known system threshold values are calculated by comparing echo signals of an output channel with the echo signals of at least one other output channel to measure disturbing components and suppressing the disturbing component in the output channel, and performing an approximate decorrelation by forming submatrices symmetrical with the principal diagonal from the power spectrum matrix in a suboptimal detection technique suitable for real-time operation. The system has as a disadvantage that considerable computer power is needed. The system according to the present invention obviates this disadvantage and is characterised in that said determination and registration means comprise memory means adapted to store k clutter maps, where 2 ≦ k ≦ n, for the registration per azimuth cell of k clutter-representing parameters, and determination means for the combined processing of said k parameters to obtain n threshold values. The use of a clutter map is known from "Introduction to Radar Systems"; 2nd Edition, Merill I. Skolnik, Mc.Graw-Hill, 1981, pp. 127-129. In the system described the output signal of filter channel O, the channel with Doppler speeds of around 0 Hz, is used to estimate a parameter of the amount of clutter in an azimuth cell. This value is subsequently registered in a memory. To obtain a parameter for the amount of clutter in the remaining filter channels, a fixed functional connection is assumed between, on the one hand, the amount of clutter in output channel O and, on the other hand, the amount of clutter in the remaining channels. In other words, a distribution of the clutter across the different channels is assumed. This implies that an estimation is made of the amount of clutter in the filter channels A i (i = 1, 2, ..., n-1). It has been proven in practice that clutter suppression is not always effective. The inventor found that this is caused by the fact that the clutter distribution across the different output channels A i is dependent on the type of clutter confronted. Different types of clutter occur especially in the case of search radars, where the radar covers different types of territories, e.g. land and sea clutter. Different types of clutter also occur as a result of variable weather conditions (anaprop). Because, according to the invention, for k filter channels A i with k ≧ 2 the amount of clutter is determined, it is possible to obtain a better impression of the changing functional relationships as regards the distribution of the amount of clutter across various output channels. To determine the k parameters b i belonging to the k filter channels A i concerned, a parallel circuit of k known clutter analysis units can be used. A special embodiment of the MTI-unit according to the invention is characterised in that k = n . Because for each filter channel the amount of clutter per azimuth cell is determined, the threshold circuit belonging to the filter channel can be optimally adjusted without assuming a functional relationship indicating the distribution of clutter across the various filter channels. An advantageous embodiment of the MTI-unit according to the invention is characterised in that the means for determination and registration of the parameters b i and b i+2 based on the output signals U i and U i+2 of output channels A i and A i+2 , for obtaining threshold values B i and B i+2 based on the said parameters b i and b i+2 and for obtaining threshold values B i+1 from parameters b i and b i+2 by means of interpolation. Due to the application of interpolation, the memory capacity of the MTI unit can be limited to allow a cheaper construction of the MTI unit. It has been proven, that assuming a properly chosen form of interpolation, the performance is only slightly deteriorated. An especially effective MTI unit can be applied in a radar apparatus with p different p.r.f.'s, where the means mentioned are suitable for determination and registration of the said parameters per azimuth cell and per p.r.f., and for setting the said threshold circuits per azimuth cell and per p.r.f. used. By means of the interpolation methods described above, however, the number of clutter maps can be reduced. The combination of staggering on the one hand and interpolation on the other hand shows a combined result, allowing a particularly effective clutter suppression, while multiple-time-around echoes can be suppressed. The invention will be further explained with reference to the following figures, of which Fig. 1 shows a first possible embodiment of an MTI unit according to the invention; Fig. 2 shows a division of the range of a radar apparatus into azimuth cells; Fig. 3 shows a first embodiment of the clutter analysis unit of Fig. 1; Fig. 4 shows an embodiment of the log-modulus unit operating on a time-sharing basis and the clutter analysis unit of fig. 1; Fig. 5 shows a cost-effective embodiment of an MTI unit according to the invention. Fig. 1 illustrates a doppler filter bank 1 with 16 output channels A i (i = 0, 1, ..., 15) (n = 16). The output signals of filter bank 1 in this embodiment consist in echo signals from a pulse doppler surveillance radar. These echo signals have after reception been transformed to an intermediate frequency. The doppler frequencies of the echo signals transformed to intermediate frequency are analysed in frequency by means of doppler filter bank 1. In practice, it is possible that the echo signals, before being supplied to the doppler filter, are digitised by means of an A/D converter, enabling the application of a 16-point FFT for the doppler filter bank. However, this does not exclude application of an analogue 16-point doppler filter. Filter channel A₀ embodies a zero-velocity filter. The sixteen output signals U i (i = 0, 1, ..., 15) of the doppler filter bank are supplied via lines 2.i (i = 0, 1, ..., 15) respectively to log-modulus units 3.i (i = 0, 1, ..., 15). It is also possible to implement units 3.i for generation of the modulus square or the modulus of the input signal. The area covered by the search radar is illustrated in fig. 2. The area has been divided into a number of azimuth cells, one of which is azimuth cell 4. For the embodiment in question it is assumed that the pulse repetition frequency of the search radar apparatus into which the MTI-unit has been implemented is 400 Hz, while a complete revolution is made in 6 sec. The radar apparatus therefore generates 2400 transmitter pulses in one revolution. The 16-point FFT sweeps are executed with a mutual overlap of twelve radar sweeps, i.e. two subsequent FFT sweeps cover an azimuth angle corresponding with the azimuth angle covered by four transmitter pulses. However, one azimuth cell covers 1.4° (one revolution comprises 256 azimuth cells), so one azimuth cell comprises two or three FFT sweeps. For each azimuth cell the frequency spectrum is determined by means of doppler filterbank 1. Output signals U i ′ (i = 0, 1, ..., 15) of the log-modulus units 3.i (i = 0, ..., 15) belonging to an azimuth cell, are supplied via lines 5.i and 6.i (i = 0, ..., 15) to a clutter analysis unit 7. Clutter analysis unit 7 determines per cell for each output channel A i a parameter b i (i = 0, 1, ..., 15) representing the maximum amount of clutter. Fig. 3 illustrates a possible embodiment of clutter analysis unit 7. The clutter analysis unit consists of sixteen parallel-connected and identical maximum detectors 8.i (i = 0, ..., 15). A maximum detector 8.i is provided with a comparator 9.i and a register 10.i. At the start of each azimuth cell register 10.i is reset to zero. Signal U i ′ belonging to an azimuth cell is supplied to comparator 9.i via line 6.i. Comparator 9.i also receives the parameter b i , already stored in register 10.i, via line 11.i. If U i ′ ≧ b i , the comparator switches a switching unit 12.i to position I, causing b i to be overwritten with the value of U i ′. In case U i ′ < b i , comparator 9.i sets switching unit 12.i to position II, causing the original value of b i to be written into register 10.i again. In this way, the maximum value of U′ imax = b i is selected from the subsequent signals U i belonging to the subsequent FFT sweeps of one azimuth cell. The sixteen parameters b i are supplied to a filter unit 14 via lines 13.i (i = 0, ..., 15) for each azimuth cell. For the filter unit, median, mean or top(modulus) filters may be applied. For mean filters, linear filters qualify, such as low-pass filters, FIR filters or recursive filters. A top filter determines the maximum value of a frequency distribution. In this case the use of low-pass filters is further described. Low-pass unit 14 is in this configuration provided with sixteen parallel-connected and identical low-pass filters 15.i (i = 0, ..., 15). The sixteen output signals of low-pass unit 14 are stored in a memory 18 via lines 17.i (i = 0, ..., 15). Low-pass unit 14 also receives, via lines 16.i (i = 0, ..., 15), the parameters b i of an azimuth cell already stored in memory 18. The transfer of a low-pass filter 15.i can be described as follows: where 0 < γ < 1. In this formula, is the old parameter b i , obtained during a preceding revolution, stored in the memory and supplied via line 16.i, b i is a parameter of an azimuth cell determined by clutter analysis unit 7 and supplied via line 13.i, and is the parameter supplied via line 17.i with which the parameter is overwritten in the memory. It will be clear that it is possible to replace on a time-sharing basis the clutter analysis unit and the log-modulus units 3.i with one comparator 9.i, register 10.i and a log-modulus unit 3.i (see Fig. 4). For this purpose, two switching means 20 and 21 are implemented which ensure that signals b i (0, ..., 15) are processed and supplied by successively assuming positions 0 to 15. Thus the amount of clutter is recorded for each cell. In this way, a recording is made, as it were, of sixteen clutter maps of the area covered by the search radar: one clutter map for each output channel of the doppler filter. When the search radar covers an azimuth cell of the environment, the accompanying parameters (hereafter called b i ) are read from the memory and supplied to a threshold value unit 23 via lines 22.i (i = 0, ..., 15). Threshold value unit 23 for each parameter b i generates an accompanying signal B i (i = 0, ..., 15), which is used to set the threshold level of the sixteen threshold circuits 24.i (i = 0, ..., 15) respectively via lines 25.i (i = 0, ..., 15). The output signals U i ′ of the log-modulus unit 3.i are supplied to threshold circuit 24.i via lines 5.i (i = 0, ..., 15). If output signals A i of a log-modulus unit 3.i exceed the accompanying threshold value B i , this signal is supplied for further processing via the accompanying threshold circuits 24.i to lines 26.i (i = 0, ..., 15). Because for each output signal the accompanying clutter map is recorded in the memory, optimal clutter suppression is realised. An especially cost-effective embodiment is illustrated in Fig. 5. In this embodiment, only the eight output signals U i ′ of log-modulus units 3.i (i = 0, 2, 4, ..., 14) are supplied to clutter analysis unit 7. Eight clutter maps are therefore stored in the memory, belonging to the output signals of logmodulus units 3.i (i = 0, 2, 4, ..., 14). When the radar apparatus covers an azimuth cell of Fig. 2, the eight accompanying parameters b i (i = 0, 2, 4, ..., 14) are supplied to threshold value unit 23 via lines 22.i (i = 0, 2, 4, ..., 14). Threshold value unit 23 generates eight threshold value signals B i (i - 0, 2, ..., 14) from parameters b i (i = 0, 2, ..., 14). Threshold values B i (i = 1, 3, ..., 15) are obtained through interpolation. For this purpose, threshold value unit 23 is provided with means for the execution of the following calculation: where i = 0, 2, ..., 14, where b₁₆ = b₀ . From the values b i (i = 1, 3, ..., 15) obtained through interpolation, threshold value unit 23 generates threshold value signals B i (i = 1, 3, ..., 15), which are supplied to threshold circuits 24.i (i = 1, 3, ..., 15) via lines 25.i (i = 1, 3, ..., 15) respectively. The MTI unit is provided with a timing generator 27 for generating signals S and to control the MTI unit in time. It will be clear that according to the invention other interpolation methods can be used as well. It is also possible to further reduce the number of clutter maps. Thus, it has been shown that an especially effective clutter suppression is only obtained if clutter maps are compiled for output channels A i (i = 0, 2, 4, 8, 12, 14). For output channels A i (i = 6, 7, 9, 10), the threshold unit uses the clutter map belonging to output channel A₈, while for the other channels A i (i = 1, 3, 5, 11, 13, 15), the above-described interpolation between two neighbouring output channels is applied. If the radar apparatus in which the above-described MTI unit is applied, uses a staggered pulse repetition frequency (two or more p.r.f.'s), it is possible to record a set of clutter maps as described above for the pulse repetition frequencies. The number of clutter maps will then double in case staggering implies the use of two p.r.f.'s. Staggering is important for the suppression of multiple-time-around echoes, because they take up different positions for the different p.r.f.'s. If for staggering p different p.r.f.'s are used, the number of clutter maps will be increased by a factor p. By means of the above-described interpolation methods, the number of clutter maps can however be decreased again. The combination of staggering on the one hand and interpolation on the other hand has the combined result of allowing a specially effective clutter suppression while suppressing multiple-time-around echoes.

Claims: Moving target indication unit provided with a doppler filter bank (1) having n output channels A i , i = 0, ..., n-1, with n threshold circuits (24.i) connected thereto, and determination and registration means (7,14,18,23) for setting the threshold circuit (24.i) connected to each output channel per azimuth cell on the basis of received echo signals from the output channels of the doppler filter bank (1), characterised in that said determination and registration means comprise memory means (18) adapted to store k clutter maps, where 2 ≦ k ≦ n, for the registration per azimuth cell of k clutter-representing parameters (b i ), and determination means (23) for the combined processing of said k parameters to obtain n threshold values (25.i). Moving target indication unit as claimed in claim 1, characterised in that k = n . Moving target indication unit as claimed in claim 1, characterised in that the said determination means (23) are suitable for the execution of an interpolation of k parameters (b i ) to obtain n threshold values (25.i). Moving target indication unit as claimed in claim 3, characterised in that the said determination and registration means (7,14,18,23) are suitable for the determination and registration of parameters b i and b i+2 based on the output signals U i and U i+2 of output channels A i and A i+2 , for obtaining threshold values B i and B i+2 based on the said parameters b i and b i+2 and for obtaining threshold values B i+1 from parameters b i and b i+2 by means of interpolation. Moving target indication unit as claimed in claim 4, characterised in that the said determination means (23) are suitable for calculating b i+1 , i = 0, 2, ..., n-2, according to the method Moving target indication unit as claimed in one of the above claims, characterised in that the said determination and registration means (7,14,18,23) are provided with a filter unit (14) for combined processing of a parameter b i already stored in one of the clutter maps (18) and a newly determined output signal U i to obtain a new parameter b i with which the old parameter b i is overwritten. A radar apparatus with p different p.r.f.'s comprising the moving target indication unit as claimed in one of the above claims, characterised in that the said determination and registration means are suitable for determination and registration of the said parameters per azimuth cell and per p.r.f. and for setting the said threshold circuits (24.i) per azimuth cell and per p.r.f. used. A radar apparatus as claimed in claim 7, characterised in that k = p.n . A radar apparatus as claimed in claim 7, characterised in that 2 ≦ k ≦ p.n .

Inventors: BERGMAN JAN, HOL WILLEM ANDRIES, BERGMAN, JAN, HOL, WILLEM ANDRIES
Applicants: HOLLANDSE SIGNAALAPPARATEN BV, HOLLANDSE SIGNAALAPPARATEN B.V.
Application year: 1988
Main classification: G01S13
IPC codes: G01S13, G01S7