Adaptive pulse compression repair processing

It is well known that the standard matched filter used in radar pulse compression generates range sidelobes in the vicinity of large targets which can result in the masking of smaller nearby targets. Recently, pulse compression repair (PCR) was proposed as a means of suppressing the range sidelobes after matched filtering has taken place. This is especially applicable to in-service radar systems, where one may not have access to the received signal prior to standard pulse compression or where it may not be feasible to replace the current pulse-compression system. The PCR algorithm adaptively operates on the output of the standard matched filter, thereby treating the autocorrelation of the received waveform as if it were the transmitted waveform. This paper examines the effects of the Doppler mismatch on the PCR algorithm in which the resulting correlation between the transmitted waveform and the Doppler-shifted received waveform is mismatched to the waveform autocorrelation. It is shown that PCR degrades gracefully as Doppler mismatch increases, even in dense target scenarios.

[1]  E. Robinson,et al.  The Design of High-Resolution Digital Filters , 1966 .

[2]  M. Skolnik,et al.  Introduction to Radar Systems , 2021, Advances in Adaptive Radar Detection and Range Estimation.

[3]  Shannon D. Blunt,et al.  A novel pulse compression scheme based on minimum mean-square error reiteration [radar signal processing] , 2003, 2003 Proceedings of the International Conference on Radar (IEEE Cat. No.03EX695).

[4]  K. Gerlach,et al.  Adaptive pulse compression , 2004, Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509).

[5]  W. F. Gabriel Superresolution techniques in the range domain , 1990, IEEE International Conference on Radar.

[6]  S. Kay Fundamentals of statistical signal processing: estimation theory , 1993 .

[7]  T. Felhauer,et al.  Digital signal processing for optimum wideband channel estimation in the presence of noise , 1993 .

[8]  K. Gerlach,et al.  Radar Pulse Compression Repair , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[9]  Young Sik Kim,et al.  Estimation theoretic approach for radar pulse compression processing and its optimal codes , 2000 .

[10]  W. F. Gabriel,et al.  Superresolution techniques and ISAR imaging , 1989, Proceedings of the IEEE National Radar Conference.

[11]  S. Blunt,et al.  Adaptive pulse compression via MMSE estimation , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[12]  Martin H. Ackroyd,et al.  Optimum Mismatched Filters for Sidelobe Suppression , 1973, IEEE Transactions on Aerospace and Electronic Systems.

[13]  Shannon D. Blunt,et al.  Adaptive repair of pulse-compressed radar waveforms: Seeing the forest despite the trees , 2004, 2004 International Waveform Diversity & Design Conference.

[14]  Frank Kretschmer,et al.  Linear Frequency Modulation Derived Polyphase Pulse Compression Codes , 1981, IEEE Transactions on Aerospace and Electronic Systems.