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

系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (7): 2031-2042.doi: 10.12305/j.issn.1001-506X.2023.07.13

针对距离采样失配的多波形自适应脉冲压缩

裴家正¹^,², 黄勇¹^,*, 陈宝欣³, 关键¹, 陈小龙¹

1. 海军航空大学, 山东烟台 264001
2. 军事科学院, 北京 100091
3. 中国人民解放军92337部队, 辽宁大连 116000

收稿日期:2021-11-25 出版日期:2023-06-30 发布日期:2023-07-11
通讯作者: 黄勇
作者简介:裴家正 (1994—), 男, 助理研究员, 博士, 主要研究方向为雷达多维信号处理
黄勇 (1979—), 男, 副教授, 博士, 主要研究方向为MIMO雷达目标检测算法
陈宝欣 (1990—), 男, 工程师, 博士, 主要研究方向为阵列信号处理、雷达多维信号处理
关键 (1968—), 男, 教授, 博士, 主要研究方向为雷达目标检测与跟踪、侦察图像处理、信息融合
陈小龙 (1979—), 男, 副教授, 博士, 主要研究方向为为雷达动目标检测、海杂波抑制、雷达信号精细化处理
基金资助:
国家自然科学基金(61871391);国家自然科学基金(U1933135);国家自然科学基金(61871392);国家自然科学基金(62101583);国家自然科学基金(61971432);国防科技基金(2019-JCJQ-JJ-058);山东省高等学校青创科技支持计划(2019KJN026);山东省自然科学基金(ZR202102190211)

Multi-waveform adaptive pulse compression for range sampling mismatch

Jiazheng PEI¹^,², Yong HUANG¹^,*, Baoxin CHEN³, Jian GUAN¹, Xiaolong CHEN¹

1. Naval Aviation University, Yantai 264001, China
2. Academy of Military Science, Beijing 100091, China
3. Uint 92337 of the PLA, Dalian 116000, China

Received:2021-11-25 Online:2023-06-30 Published:2023-07-11
Contact: Yong HUANG

摘要/Abstract

摘要：

针对距离单元内调频信号的回波采样点与目标点失配(即距离采样失配)时, 引发回波采样波形与参考信号波形之间相位失配以及自适应脉冲压缩性能下降等问题, 提出了一种针对距离采样失配的多波形自适应脉冲压缩(multi-waveform adaptive pulse compression, MWAPC)方法。所提方法将多基地自适应脉冲压缩(multistatic adaptive pulse compression, MAPC)方法应用到单基地雷达, 首先将单基地雷达的原始发射信号过采样得到多个采样版本的发射信号, 并将各种采样版本视为不同的波形; 然后借助于自适应脉冲压缩对相位失配的敏感性, 依次用不同采样版本的发射信号对回波信号做多波形自适应脉冲压缩构建距离维与采样维的二维输出, 得到在距离单元内目标点与采样点的相对位置关系。实验证明, 所提方法可根据多个采样版本的采样时序将自适应脉冲压缩的二维输出延展成一维。相比于常规脉压方法, 所提方法不仅能抑制因采样失配而产生的距离旁瓣, 还可获得超出传统脉压方法的分辨能力, 在同一距离单元内区分出不同位置的目标。

关键词: 调频信号, 采样失配, 过采样, 自适应脉冲压缩, 雷达成像, 距离旁瓣抑制

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

中图分类号:

TN958.2

裴家正, 黄勇, 陈宝欣, 关键, 陈小龙. 针对距离采样失配的多波形自适应脉冲压缩[J]. 系统工程与电子技术, 2023, 45(7): 2031-2042.

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.

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参考文献 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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针对距离采样失配的多波形自适应脉冲压缩

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