辐射式仿真中PCM信号间歇收发回波重构方法

doi:10.12305/j.issn.1001-506X.2022.03.08

摘要/Abstract

摘要：

将间歇收发用于辐射式仿真可以有效解决收发信号互耦问题, 但间歇收发带来的信号缺失, 将导致脉冲压缩后距离像旁瓣的升高, 从而影响目标的分辨能力。为了解决这一问题, 针对脉冲编码调制(pulse code modulation, PCM)信号提出了基于匹配滤波变换基的信号回波重构方法。本文推导了间歇收发后PCM信号经过匹配滤波器的输出, 并利用PCM信号间歇收发回波稀疏特点, 结合压缩感知理论研究了基于匹配滤波变化基的间歇收发回波精确重构方法。仿真结果表明, 该重构方法能够准确恢复距离像, 信噪比大于10 dB重构概率达到95%, 验证了本文所分析方法的可行性与正确性。

关键词: 辐射式仿真, 间歇采样, 压缩感知, 回波重构

Abstract:

The use of intermittent transmitting and receiving in radiation simulation can effectively solve the problem of mutual coupling of the transmitting and receiving signals, but the signal loss caused by the intermittent transmitting and receiving will cause the increase of the range image sidelobe after pulse compression, thereby affecting the resolution of the target. In order to solve this problem, a pulse code modulation (PCM) signal echo reconstruction method based on the matched filter transform base is proposed. This paper derives the output of PCM signals after intermittent transmitting and receiving through a matched filter, and uses the sparse characteristics of intermittent transmitting and receiving of PCM signals, and combines the theory of compressed sensing to study the accurate reconstruction method of intermittent transmitting and receiving echo based on the matched filter change base. The simulation results show that the reconstruction method can accurately restore the range profile, and the reconstruction probability of the signal to noise ratio greater than 10 dB reaches 95%, which verifies the feasibility and correctness of the method analyzed in this paper.

Key words: radiation simulation, intermittent sampling, compressed sensing, echo reconstruction

中图分类号:

TN959.1

谢艾伦, 刘晓斌, 赵锋, 艾小锋, 肖顺平. 辐射式仿真中PCM信号间歇收发回波重构方法[J]. 系统工程与电子技术, 2022, 44(3): 771-776.

Ailun XIE, Xiaobin LIU, Feng ZHAO, Xiaofeng AI, Shunping XIAO. Reconstruction method of PCM signal intermittent transmitting and receiving echo in radiation simulation[J]. Systems Engineering and Electronics, 2022, 44(3): 771-776.

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参考文献 25

1	LIU X B , LIU J , WU Q H , et al. Experimental study on pulse radar target probing in RFS based on interrupted transmitting and receiving[J]. Chinese Journal of Aeronautics, 2018, 31 (3): 575- 583. doi: 10.1016/j.cja.2017.12.017
2	刘晓斌, 刘进, 刘光军, 等. 辐射式仿真中脉冲雷达ISAR成像等效模拟方法[J]. 电子与信息学报, 2018, 40 (7): 1553- 1560.
	LIU X B , LIU J , LIU G J , et al. Equivalent simulation method for pulse radar ISAR imaging in radio frequency simulation[J]. Journal of Electronics & Information Technology, 2018, 40 (7): 1553- 1560.
3	王雪松, 刘建成, 张文明, 等. 间歇采样转发干扰的数学原理[J]. 中国科学E辑: 信息科学, 2006, 36 (8): 891- 901.
	WANG X S , LIU J C , ZHANG W M , et al. Mathematical principle of intermittent sampling repeater interference[J]. Science in China (Series E): Information Sciences, 2006, 36 (8): 891- 901.
4	刘晓斌, 赵锋, 艾小锋, 等. 雷达半实物仿真及其关键技术研究进展[J]. 系统工程与电子技术, 2020, 42 (7): 1471- 1477.
	LIU X B , ZHAO F , AI X F , et al. Research progress of radar hardware-in-the-loop simulation and its key technology[J]. Systems Engineering and Electronics, 2020, 42 (7): 1471- 1477.
5	国防科技大学. 微波暗室中脉冲雷达进动目标微动特征提取方法[P]. 中国: CN201911239515.6, 2020-05-08.
	National University of Defense Technology. Micro motion feature extraction method of pulse radar precession target in microwave anechoic chamber[P]. China: CN201911239515.6, 2020-05-08.
6	LIU X B , LIU J , ZHANG F , et al. A novel strategy for pulse radar HRRP reconstruction based on randomly interrupted transmitting and receiving in radio frequency simulation[J]. IEEE Trans.on Antennas & Propagation, 2018, 66 (5): 2569- 2580.
7	MBEUTCHA M, KROZER V. CDMA-based MIMO FMCW radar system performance using intra-pulse phase modulation[C]// Proc. of the 16th European Radar Conference, 2019.
8	蒋润良. 相位编码雷达信号处理及其应用研究[D]. 南京: 南京理工大学, 2003.
	JIANG R L. Phase coded radar signal processing and its application[D]. Nanjing: Nanjing University of Science and Technology, 2003.
9	付琴琴. 相位编码信号的参数设计[D]. 西安: 西安电子科技大学, 2012.
	FU Q Q. Parameter design of phase coded signal[D]. Xi'an: Xidian University, 2012.
10	贺芃. 低截获概率雷达信号的副瓣抑制技术研究[D]. 西安: 西安电子科技大学, 2017.
	HE F. Research on sidelobe suppression of LPI radar signal[D]. Xi'an: Xidian University, 2017.
11	LIU X B , LIU J , ZHAO F , et al. An equivalent simulation method for pulse radar measurement in anechoic chamber[J]. IEEE Geoscience & Remote Sensing Letters, 2017, 14 (7): 1081- 1085.
12	FAN Q , JIA C , LIU J , et al. Robust recovery in 1-bit compressive sensing via-constrained least squares[J]. Signal Processing, 2021, 179, 107822. doi: 10.1016/j.sigpro.2020.107822
13	WANG Y F , CAO J J , YANG C C . Recovery of seismic wavefields based on compressive sensing by an l₁-norm constrained trust region method and the piecewise random subsampling[J]. Geophysical Journal International, 2011, 187, 199- 213. doi: 10.1111/j.1365-246X.2011.05130.x
14	LI J . Joint Bayesian and Greedy recovery for compressive sen-sing[J]. Chinese Journal of Electronics, 2020, 29 (5): 157- 163.
15	CUI K Y , SONG Z J , HAN N N . Fast thresholding algorithms with feedbacks and partially known support for compressed sensing[J]. Asia-Pacific Journal of Operational Research, 2020, 37 (3): 1- 20.
16	杜晓林, 王旭, 苏涛, 等. MIMO雷达正交相位编码信号的代数设计方法[J]. 西安电子科技大学学报(自然科学版), 2014, 41 (2): 64- 70. doi: 10.3969/j.issn.1001-2400.2014.02.011
	DU X L , WANG X , SU T , et al. Orthogonal phase coding signal design for MIMO radar via an algebraic method[J]. Journal of Xidian University, 2014, 41 (2): 64- 70. doi: 10.3969/j.issn.1001-2400.2014.02.011
17	于涛, 李宏, 陆洪涛, 等. 间歇采样转发干扰对相位编码雷达的影响分析[J]. 海军航空工程学院学报, 2018, 33 (5): 435- 440, 472.
	YU T , LI H , LU H T , et al. Influence of interrupted-sam pling and repeater jamming on phase-coded radar[J]. Journal of Naval Aeronautical and Astronautical University, 2018, 33 (5): 435- 440, 472.
18	BARANIUK R G . Compressive sensing[J]. IEEE Signal Processing Magazine, 2007, 24 (4): 118- 121. doi: 10.1109/MSP.2007.4286571
19	李珅, 马彩文, 李艳, 等. 压缩感知重构算法综述[J]. 红外与激光工程, 2013, 42 (S1): 225- 232.
	LI K , MA C W , LI Y , et al. Survey on reconstruction algorithm based on compressive sensing[J]. Infrared and Laser Engineering, 2013, 42 (S1): 225- 232.
20	葛明. 压缩感知的重构算法在宽带雷达信号处理中的应用[D]. 南京理工大学, 2015.
	GE M. Compressed sensing application in wideband radar signal processing[D]. Nanjing: Nanjing University of Science and Technology, 2015.
21	MARSOUSI M, ABHARI K, BABYN P, et al. Multistage OMP sparse coding using local matching pursuit atoms selection[C]//Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2013: 1783-1787.
22	ZHANG Y S , MA Y , DAI X B , et al. Locality-constrained sparse representation for hyperspectral image classification[J]. Information Sciences, 2021, 546, 858- 870. doi: 10.1016/j.ins.2020.09.009
23	LI Y Q , WANG J , LI H , et al. Peak colocalized orthogonal matching pursuit for seismic trace decomposition[J]. IEEE Access, 2020, 8, 8620- 8626. doi: 10.1109/ACCESS.2020.2964095
24	LUO S . Variable selection in high-dimensional sparse multiresponse linear regression models[J]. Statistical Papers, 2020, 61 (3): 1245- 1267. doi: 10.1007/s00362-018-0989-x
25	TROPP J A , GILBERT A C . Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Trans.on Information Theory, 2007, 53 (12): 4655- 4666. doi: 10.1109/TIT.2007.909108

参数	数值
散射点与天线距离/m	[30, 45, 60]
雷达散射截面/m²	[0.8, 1.5, 1]
码元宽度/μs	0.05
码元个数/个	127
载频频率/Hz	2M
接收机信噪比/dB	-5~15
间歇收发占空比	0.35
天线收发增益/dB	30

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