|Table of Contents|

Radar Adaptive Range Sidelobe Suppression Based on Recursive MSNR Criteria

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2009年03期
Page:
366-370
Research Field:
Publishing date:

Info

Title:
Radar Adaptive Range Sidelobe Suppression Based on Recursive MSNR Criteria
Author(s):
ZHANG Jin-dongGU ChenZHU Xiao-huaLI Yu-sheng
School of Electronic Engineering and Optoelectronic Technology,NUST,Nanjing 210094,China
Keywords:
adaptive radars sidelobes suppression maximal signal-to-noise rate criteria recursive functions
PACS:
TN958.3
DOI:
-
Abstract:
A sidelobe compression algorithm based on recursive maximum signal-to-noise ratio(MSNR) is proposed to solve the problem that the weak target may be covered by the range sidelobe of the strong one in pulse compression radar.This algorithm uses the apriori information obtained by recursive function to adaptively suppress range sidelobes.An algorithm principle is first deduced,then algorithm steps are given according to it,and the algorithm is optimized.Theory and simulation results show that this algorithm can effectively and reliably suppress sidelobes and has better sidelobe suppression performance in extracting single targets in high and low signal-to-noise ratio(SNR) and single moving targets and multiple adjacent moving targets in high SNR than adaptive algorithms of minimum mean square error criteria.

References:

[ 1] Sato R, Sh inrhuM. S imp lem isma tched filter for b inary pu lse com pression codew ith sm a ll PSL and sm all S / N lo ss[ J]. IEEE T ransactions on Aero space and E lectron ic Sy stem s, 2003, 39( 2): 711- 718.
[ 2] ZrnicB, Ze jak A. Range s ide lobe suppression for pulse com pression radars utilizing m od ified RLS a lgor ithm [ J]. IEEE 5th Inte rna tiona l Sym posium on Spread Spectrum Techniques and Applications, 1998, 3: 1008 - 1011.
[ 3] H a i D. Effective CLEAN a lgor ithm s fo r perform anceenhanced detec tion o f binary coding radar signa ls[ J]. IEEE Transactions on S igna l Process ing, 2004, 52 ( 1): 72- 78.
[ 4] Bose R, Freedman A, Ste inberg B D. Sequence CLEAN: A m odified deconvo lution technique fo rm icrow av e im ag ing of contiguous targets [ J]. IEEE Transactions on Aerospace and E lectronic System s, 2002, 38( 1): 89 - 97.
[ 5] Shackelfo rd A K, Graaf D J, Talapa tra S, et a .l Adaptive pu lse com pression: Prelim inary expe rim en tal m easurem ents [ A ]. IEEE Radar Conference [ C ]. Boston, USA: IEEE, 2007. 234- 237.
[ 6] B lunt S D, Gerlach K. Adaptive pu lse compression v ia MM SE estmi ation [ J]. IEEE Transactions on Aerospace and E lectron ic Systems, 2006, 42( 2): 572- 584.
[ 7] Shannon D B, Karl G. A genera lized form ulation for adaptiv e pulse com pression o f m ult-i static rada r[ A]. IEEE Senso rArray andM ultichannel S ignal Processing [ C]. W altham, USA: IEEE, 2007. 349- 353.
[ 8] Shannon D B, K arl G. M ult-i static adaptiv e pu lse compress ion [ J]. IEEE Transactions on Aero space and E lectronic System s, 2006, 42( 3): 891- 903.
[ 9] B lunt S D, Ge rlach K. Adaptive pu lse com pression [ A ]. IEEE Radar Conference [ C ]. Ph ilade lph ia, USA: IEEE, 2007. 271- 276.

Memo

Memo:
-
Last Update: 2012-11-19