针对距离采样失配的多波形自适应脉冲压缩

doi:10.12305/j.issn.1001-506X.2023.07.13

Abstract

Abstract:

Aiming at the phase mismatch between echo waveform and reference signal waveform and the degradation of adaptive pulse compression method's performance when the mismatch between echo sampling point of frequency modulation (FM) signal echo in a range cell is mismatched with the target point (i.e., range sampling mismatch), a multi-waveform adaptive pulse compression (MWAPC) method for range sampling mismatch is proposed. The algorithm applies the multistatic adaptive pulse compression (MAPC) method to the monostatic radar. Firstly, the original transmitted signal of the monostatic radar is oversampled to obtain multiple sampled versions of the transmitted signal, and various sampled versions are regarded as different waveforms. Then with the help of the sensitivity of adaptive pulse compression to phase mismatch, the different sampled versions of the transmitted signal are utilized to perform multi-waveform adaptive pulse compression on the echo signal, and the two-dimensional output of range dimension and sampling dimension is constructed to obtain the relative position relationship between target point and echo sampling point in a range cell can be obtained. Experiments show that the proposed algorithm can extend the two-dimensional output of adaptive pulse compression into one-dimensional according to the sampling order of the multiple sampling versions. Compared with the conventional pulse compression method, the proposed method not only suppress the range sidelobes caused by range sampling mismatch, but also obtain the resolution which beyond the traditional pulse compression methods to distinguish different targets in the same range cell.

Key words: frequency modulation (FM) signal, sampling mismatch, oversampling, adaptive pulse compression (APC), radar imaging, range sidelobes suppression

CLC Number:

TN958.2

Jiazheng PEI, Yong HUANG, Baoxin CHEN, Jian GUAN, Xiaolong CHEN. Multi-waveform adaptive pulse compression for range sampling mismatch[J]. Systems Engineering and Electronics, 2023, 45(7): 2031-2042.

Figures/Tables 21

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Table 1

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References 44

1	RICHARDS M A . Fundamentals of radar signal processing[M]. 2nd ed New York: The McGraw-Hill Companies, 2014: 226- 319.
2	ZHANG W L , SUN R S , MINN H . Algorithm and performance analysis for frame detection based on matched filtering[J]. IEEE Access, 2020, 8, 40559- 40572. doi: 10.1109/ACCESS.2020.2975266
3	ACKROYD M H , GHANI F . Optimum mismatched filters for sidelobe suppression[J]. IEEE Trans.on Aerospace and Electronic Systems, 1973, 9 (2): 214- 218.
4	RABASTE O , BOSSE J , SAVY L . Robust mismatched filter for off-grid target[J]. IEEE Signal Processing Letters, 2019, 26 (8): 1147- 1151. doi: 10.1109/LSP.2019.2923054
5	SUN Y H , LIU Q H , CAI J J , et al. A novel weighted mismatched filter for reducing range sidelobes[J]. IEEE Trans.on Aerospace and Electronic Systems, 2019, 55 (3): 1450- 1460. doi: 10.1109/TAES.2018.2871479
6	ZHOU K , LI D X , SU Y , et al. Joint design of transmit waveform and mismatch filter in the presence of interrupted sampling repeater jamming[J]. IEEE Signal Processing Letters, 2020, 27, 1610- 1614. doi: 10.1109/LSP.2020.3021667
7	TSAO J , STEINBERG B D . Reduction of sidelobe and speckle artifacts in microwave imaging: the CLEAN technique[J]. IEEE Trans.on Antennas and Propagation, 1988, 36 (4): 543- 556. doi: 10.1109/8.1144
8	潘孟冠, 胡金龙, 陈伯孝, 等. 基于CLEAN思想的互补码信号脉冲压缩算法[J]. 雷达科学与技术, 2020, 18 (3): 254- 261.
	PAN M G , HU J L , CHEN B X , et al. CLEAN concept based pulse compression algorithm for complementary code signal[J]. Radar Science and Technology, 2020, 18 (3): 254- 261.
9	BLUNT S D , GERLANCH K . Adaptive pulse compression via MMSE estimation[J]. IEEE Trans.on Aerospace and Electronic Systems, 2006, 42 (2): 572- 584. doi: 10.1109/TAES.2006.1642573
10	BLUNT S D , GERLANCH K . Multistatic adaptive pulse compression[J]. IEEE Trans.on Aerospace and Electronic Systems, 2006, 42 (3): 891- 903. doi: 10.1109/TAES.2006.248196
11	GERLANCH K , BLUNT S D . Radar pulse compression repair[J]. IEEE Trans.on Aerospace and Electronic Systems, 2007, 43 (3): 1188- 1195. doi: 10.1109/TAES.2007.4383610
12	BLUNT S D, SMITH K J, GERLANCH K. Doppler-compensated adaptive pulse compression[C]//Proc. of the IEEE Conference on Radar, 2006.
13	BLUNT S D, SHACKELFORD A K, GERLANCH K. Single pulse imaging[C]//Proc. of the IEEE International Waveform Diversity & Design Conference, 2006.
14	BLUNT S D , SHACKELFORD A K , GERLANCH K . Doppler compensation & single pulse imaging using adaptive pulse compression[J]. IEEE Trans.on Aerospace and Electronic Systems, 2009, 45 (2): 647- 658. doi: 10.1109/TAES.2009.5089547
15	YARDIBI T , LI J , STOCIA P , et al. Source localization and sensing: a nonparametric iterative adaptive approach based on weighted least squares[J]. IEEE Trans.on Aerospace and Electronic Systems, 2010, 46 (1): 425- 443. doi: 10.1109/TAES.2010.5417172
16	ROWE W, LI J, STOCIA P. Sparse iterative adaptive approach with application to source localization[C]//Proc. of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013: 196-199.
17	YARDIBI T, LI J, STOCIA P. Nonparametric and sparse signal representations in array processing via iterative adaptive approaches[C]//Proc. of the IEEE Conference on Signals, Systems & Computers, 2008: 278-282.
18	ROBERTS W , STOICA P , LI J , et al. Iterative adaptive approaches to MIMO radar imaging[J]. IEEE Journal of Selected Topics in Signal Processing, 2010, 4 (1): 5- 20. doi: 10.1109/JSTSP.2009.2038964
19	LI J , STOICA P , ZHENG X Y . Signal synthesis and receiver design for MIMO radar imaging[J]. IEEE Trans.on Signal Processing, 2008, 56 (8): 3959- 3968. doi: 10.1109/TSP.2008.923197
20	WANG S , LI Z Z , ZHANG Y , et al. Implementation of adaptive pulse compression in solid-state radars: practical considerations[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12 (10): 2170- 2174. doi: 10.1109/LGRS.2015.2454481
21	LI Z Z , ZHANG Y , WANG S , et al. Fast adaptive pulse compression based on matched filter outputs[J]. IEEE Trans.on Aerospace and Electronic Systems, 2015, 51 (1): 548- 564. doi: 10.1109/TAES.2014.130544
22	DOMINGUEZ E M , MAGNARD C , FRIOUD M , et al. Adaptive pulse compression for range focusing in SAR imagery[J]. IEEE Trans.on Geoscience and Remote Sensing, 2017, 55 (4): 2262- 2275. doi: 10.1109/TGRS.2016.2641041
23	KIKUCHI H , YOSHIKAWA E , USHIO T , et al. Adaptive pulse compression technique for X-band phased array weather radar[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14 (10): 1810- 1814. doi: 10.1109/LGRS.2017.2737032
24	PEI J Z , HUANG Y , GUAN J , et al. Robust adaptive pulse compression method based on two-stage phase compensation[J]. IEEE Trans.on Geoscience and Remote Sensing, 2022, 60, 5104918.
25	HENKE D, MCCORMICK P, BLUNT S D, et al. Practical aspects of optimal mismatch filtering and adaptive pulse compression for FM waveforms[C]//Proc. of the IEEE Radar Conference, 2015: 1149-1155.
26	HENKE D. Robust optimal and adaptive pulse compression for FM waveforms[D]. Kansas: University of Kansas, 2015.
27	李秀友, 董云龙, 黄勇, 等. 基于迭代线性约束最小方差的稳健自适应脉冲压缩方法[J]. 电子与信息学报, 2015, 37 (10): 2300- 2306.
	LI X Y , DONG Y L , HUANG Y , et al. Robust adaptive pulse compression algorithm based on reiterative linearly constrained minimum variance[J]. Journal of Electronics and Information Technology, 2015, 37 (10): 2300- 2306.
28	HIGGINS T, BLUNT S D, GERLACH K. Gain-constrained adaptive pulse compression via an MVDR framework[C]//Proc. of the IEEE Radar Conference, 2009.
29	BAI J L, QIN P, LI H, et al. An improved adaptive pulse compression algorithm based on linear frequency modulation signal[C]// Proc. of the IEEE International Conference on Signal, Information and Data Processing, 2019.
30	BEZOUSEK P, KARAMAZOV S, ROLECEK J. Adaptive pulse compression filter in radar receiver application[C]//Proc. of the IEEE Conference on Microwave Techniques, 2019.
31	CHEN B X, HUANG Y, CHEN X L, et al. Space-time-range adaptive processing for MIMO radar imaging[C]//Proc. of the IEEE International Conference on Radar, 2018.
32	刘韵佛, 刘峥, 谢荣. 互相关干扰下的MIMO雷达自适应脉冲压缩方法[J]. 西安电子科技大学学报, 2011, 38 (4): 89- 94.
	LIU Y F , LIU Z , XIE R . Adaptive pulse compression for MIMO radar in cross correlation interference[J]. Journal of Xidian University, 2011, 38 (4): 89- 94.
33	NING C , TIAN J , LI K , et al. Modified adaptive pulse compression algorithm for targets with range-straddling[J]. IEEE Trans.on Aerospace and Electronic Systems, 2021, 57 (5): 3057- 3070. doi: 10.1109/TAES.2021.3068438
34	王伟, 马跃华, 郝燕玲. 基于MAPC-RISR的MIMO雷达距离——角度二维超分辨率成像算法[J]. 中国科学: 信息科学, 2015, 45 (3): 372- 384.
	WANG W , MA Y H , HAO Y L . High-resolution MIMO radar range-angle 2D imaging algorithm based on MAPC-RISR[J]. Science China: Information Science, 2015, 45 (3): 372- 384.
35	BLUNT S D, GERLACH K. Joint adaptive pulse compression to enable multistatic radar[C]//Proc. of the IEEE International Waveform Diversity & Design Conference, 2018.
36	BLUNT S D, GERLACH K. Aspects of multistatic adaptive pulse compression[C]//Proc. of the IEEE Radar Conference, 2005: 104-108.
37	BLUNT S D , GERLACH K . Multistatic adaptive pulse compression[J]. IEEE Trans.on Aerospace and Electronic Systems, 2006, 42 (3): 891- 903. doi: 10.1109/TAES.2006.248196
38	BLUNT S D , HIGGINS T . Dimensionality reduction techniques for efficient adaptive pulse compression[J]. IEEE Trans.on Aerospace and Electronic Systems, 2010, 46 (1): 349- 362. doi: 10.1109/TAES.2010.5417167
39	MOON T K . Mathematical methods and algorithms for signal processing[M]. New Jersey, USA: Prentice Hall, 2000.
40	COLLINS T , ATKINS P . Nonlinear frequency modulation chirps for active sonar[J]. IEE Proceedings-Radar, Sonar and Navigation, 1999, 146 (6): 312- 316. doi: 10.1049/ip-rsn:19990754
41	剡熠琛, 赵永波. S型非线性调频雷达信号优化方法[J]. 雷达科学与技术, 2019, 17 (2): 143- 147.
	SHAN Y C , ZHAO Y B . Optimization method of S-mode nonlinear frequency modulation radar signal[J]. Radar Science and Technology, 2019, 17 (2): 143- 147.
42	张民, 刘海鹏, 蔡兆晖. 基于组合窗的OFDM-NLFM信号设计[J]. 系统工程与电子技术, 2016, 38 (2): 287- 292.
	ZHANG M , LIU H P , CAI Z H . Design of OFDM-NLFM signal based on combined windows[J]. Systems Engineering and Electronics, 2016, 38 (2): 287- 292.
43	ZHANG Y W , WANG W , WANG R , et al. A novel NLFM waveform with low sidelobes based on modified Chebyshev window[J]. IEEE Geoscience and Remote Sensing Letters, 2020, 17 (5): 814- 818. doi: 10.1109/LGRS.2019.2930817
44	JIN G D , DENG Y K , WANG R , et al. An advanced nonlinear frequency modulation waveform for radar imaging with low sidelobe[J]. IEEE Trans.on Geoscience and Remote Sensing, 2019, 57 (8): 6155- 6168.

场景序号	MF	MVDR-APC	MWAPC
1	33.40	35.98	66.91
2	35.08	50.87	69.39
3	34.59	39.95	70.39
4	30.09	45.64	52.66
5	33.14	37.89	49.06

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[5]	HE Sisan, ZHAO Huining, FENG Cunqian, LI Song. Imaging for complex rotation target based on singular value decomposition [J]. Journal of Systems Engineering and Electronics, 2013, 35(6): 1199-1205.
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[8]	ZHOU Lin, WANG Huai-jun, SU Yi. GPR imaging algorithm based on compressive sensing [J]. Journal of Systems Engineering and Electronics, 2011, 33(9): 1995-2001.
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[14]	LI Bao-zhu, YUAN Qi, HE Pei-kun, MAO Er-ke. Method of imaging and tracking ballistic target using wideband signals [J]. Journal of Systems Engineering and Electronics, 2009, 31(7): 1588-1591.
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Multi-waveform adaptive pulse compression for range sampling mismatch

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目标序号	SNR/dB	所在距离单元	多普勒频率/Hz
1	35	30	600
2	35	40	500
3	35	50	-600
4	35	40	600
5	35	40	-600