基于多普勒扩展补偿的FDA-MIMO雷达运动目标检测

张顺生; 刘美慧; 王文钦

doi:10.12000/JR22042

基于多普勒扩展补偿的FDA-MIMO雷达运动目标检测

DOI: 10.12000/JR22042

1.
电子科技大学电子科学技术研究院成都 611731
2.
电子科技大学信息与通信工程学院成都 611731

基金项目: 国家自然科学基金(62171092)

详细信息

作者简介:
张顺生(1980-)，男，研究员，博士生导师，主要研究方向为雷达信号处理

刘美慧(1997-)，女，电子科技大学在读硕士研究生，主要研究方向为频控阵雷达运动目标检测

王文钦(1979-)，男，教授，博士生导师，主要研究方向为阵列处理及其在雷达、通信和电子对抗中的应用研究

通讯作者:
张顺生 zhangss@uestc.edu.cn

责任主编：朱圣棋 Corresponding Editor: ZHU Shengqi
中图分类号: TN958
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出版历程
- 收稿日期: 2022-03-09
- 修回日期: 2022-05-25
- 网络出版日期: 2022-06-21
- 刊出日期: 2022-08-28

FDA-MIMO Radar Moving Target Detection Based on Doppler Spread Compensation

1.
Research Institute of Electronic Science and Technology, University of Science and Technology of China, Chengdu 611731, China
2.
School of Information and Communication Engineering, University of Science and Technology of China, Chengdu 611731, China

Funds: The National Natural Science Foundation of China (62171092)

More Information

Corresponding author: ZHANG Shunsheng, zhangss@uestc.edu.cn

摘要

摘要: 频控阵-多输入多输出(FDA-MIMO)雷达在检测运动目标时，由于发射阵元间的频率偏移与目标的速度耦合，因此在慢时间维出现严重的多普勒扩展，进一步造成各接收通道的信号能量无法相干累积，极大降低了系统的检测性能。针对此问题，该文提出一种基于多普勒扩展补偿的FDA-MIMO雷达运动目标检测算法。首先建立了FDA-MIMO雷达运动目标的回波模型，分析了频偏带来的多普勒扩展问题；然后在给出最大似然接收机模型的基础上，提出一种基于插值滤波的重采样算法来补偿FDA-MIMO雷达在检测运动目标时引起的多普勒扩展。仿真结果表明：该文所提算法在抑制多普勒扩展的同时，能够补偿子目标回波在距离维的跨单元走动，实现信号能量的相参累积。
- FDA-MIMO雷达 /
- 运动目标检测 /
- 重采样 /
- 插值滤波 /
- 多普勒扩展
Abstract: When Frequency Diverse Array and Multiple-Input Multiple-Output (FDA-MIMO) radar detects moving targets, the frequency offset between transmitting arrays is coupled with the target velocity, resulting in severe Doppler spread in the slow time dimension. Further, the signal energy of each receiving channel cannot be coherently accumulated, thereby greatly reducing the detection performance of the system. To address this problem, a method of FDA-MIMO radar moving target detection based on Doppler spread compensation is proposed. Firstly, the moving target echo model of FDA-MIMO radar is established, and the Doppler spread caused by the frequency offset is analyzed. After establishing the maximum likelihood receiver model, a resampling method based on an interpolation filter is proposed to compensate for the Doppler spread caused by FDA-MIMO radar during the detection of moving targets. Simulation results reveal that the proposed method can suppress the Doppler spread, compensate for the cross-cell migration of subtarget echo in the range dimension, and realize the coherent accumulation of signal energy.
- FDA-MIMO radar /
- Moving target detection /
- Resampling /
- Interpolation filter /
- Doppler spread

HTML全文

图 1 FDA-MIMO雷达发射接收阵列模型

Figure 1. FDA-MIMO radar transmit and receive array model

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图 2 频控阵-多输入多输出雷达最大似然接收机模型

Figure 2. Maximum likelihood receiver model for FDA-MIMO radar

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图 3 距离走动与多普勒扩展示意图

Figure 3. Schematic diagram of range migration and Doppler spread

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图 4 FDA-MIMO雷达运动目标检测流程图

Figure 4. The flowchart of moving target detection for FDA-MIMO radar

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图 5 接收阵元1的每个通道的多普勒频率中心

Figure 5. The Doppler frequency center of each channel of the first receiving array element

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图 6 接收阵元1的各通道信号在使用所提算法前后的距离-多普勒二维图

Figure 6. The range Doppler two-dimensional graph of each channel signal of the first receiving array element before and after using the algorithm

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图 7 未补偿多普勒扩展下的相干累积结果

Figure 7. Coherent accumulation results with uncompensated Doppler spread

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图 8 补偿多普勒扩展的相干累积结果

Figure 8. Coherent accumulation results with compensated Doppler spread

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图 9 频偏$ \Delta f = 10$ MHz 时，相干处理增益随相干处理间隔的变化曲线

Figure 9. When the frequency offset $ \Delta f = 10 $ MHz, the gain of coherent accumulation varies with the coherent processing interval

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图 10 相干处理间隔为96 ms时，处理增益随频偏的变化曲线

Figure 10. When the coherent processing time is 96 ms, the gain of coherent accumulation varies with frequency offset

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图 11 检测概率曲线图(${P_{{\rm{fa}}}} = 0.001$)

Figure 11. Detection probability graph (${P_{{\rm{fa}}}} = 0.001$)

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参考文献(23)

[1]	ANTONIK P, WICKS M C, GRIFFITHS H D, et al. Frequency diverse array radars[C]. 2006 IEEE Conference on Radar, Verona, USA, 2006: 215–217.
[2]	王文钦, 陈慧, 郑植, 等. 频控阵雷达技术及其应用研究进展[J]. 雷达学报, 2018, 7(2): 153–166. doi: 10.12000/JR18029 WANG Wenqin, CHEN Hui, ZHENG Zhi, et al. Advances on frequency diverse array radar and its applications[J]. Journal of Radars, 2018, 7(2): 153–166. doi: 10.12000/JR18029
[3]	LAN Lan, XU Jingwei, LIAO Guisheng, et al. Suppression of mainbeam deceptive jammer with FDA-MIMO radar[J]. IEEE Transactions on Vehicular Technology, 2020, 69(10): 11584–11598. doi: 10.1109/TVT.2020.3014689
[4]	LIAO Yi, TANG Hu, CHEN Xiaolong, et al. Frequency diverse array beampattern synthesis with taylor windowed frequency offsets[J]. IEEE Antennas and Wireless Propagation Letters, 2020, 19(11): 1901–1905. doi: 10.1109/LAWP.2020.3024710
[5]	WANG Wenqin, SO H C, and FARINA A. An overview on time/frequency modulated array processing[J]. IEEE Journal of Selected Topics in Signal Processing, 2017, 11(2): 228–246. doi: 10.1109/JSTSP.2016.2627182
[6]	熊杰. 频控阵发射波束形成及其应用方法研究[D]. [博士论文], 电子科技大学, 2018. XIONG Jie. Research on transmitting beamforming technology and its applications of frequency diverse array[D]. [Ph. D. dissertation], University of Electronic Science and Technology of China, 2018.
[7]	ZHU Yu, LIU Lei, LU Zheng, et al. Target detection performance analysis of FDA-MIMO radar[J]. IEEE Access, 2019, 7: 164276–164285. doi: 10.1109/ACCESS.2019.2943082
[8]	CHENG Jie, CHEN Hui, GUI Ronghua, et al. Persymmetric adaptive detector for FDA-MIMO radar[C]. 2020 IEEE Radar Conference. Florence, Italy, 2020: 1–5.
[9]	LAN L, MARINO A, AUBRY A, et al. Design of adaptive detectors for FDA-MIMO radar[C]. 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM), Hangzhou, China, 2020: 1–5.
[10]	LAN Lan, MARINO A, AUBRY A, et al. GLRT-based adaptive target detection in FDA-MIMO radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2021, 57(1): 597–613. doi: 10.1109/TAES.2020.3028485
[11]	XU Jingwei, LIAO Guisheng, and SO H C. Space-time adaptive processing with vertical frequency diverse array for range-ambiguous clutter suppression[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(9): 5352–5364. doi: 10.1109/TGRS.2016.2561308
[12]	XU Jian, WANG Wenqin, CUI Can, et al. Joint range, angle and Doppler estimation for FDA-MIMO radar[C]. 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), Sheffield, UK, 2018: 499–503.
[13]	陈小龙, 陈宝欣, 黄勇, 等. 频控阵雷达空距频聚焦信号处理方法[J]. 雷达学报, 2018, 7(2): 183–193. doi: 10.12000/JR18018 CHEN Xiaolong, CHEN Baoxin, HUANG Yong, et al. Frequency diverse array radar signal processing via Space-Range-Doppler focus (SRDF) method[J]. Journal of Radars, 2018, 7(2): 183–193. doi: 10.12000/JR18018
[14]	程婕, 王文钦, 侯宇典, 等. 基于FDA雷达的多径干扰抑制及目标检测[J]. 信号处理, 2022, 38(1): 28–34. doi: 10.16798/j.issn.1003-0530.2022.01.004 CHENG Jie, WANG Wenqin, HOU Yudian, et al. Multipath jamming suppression and target detection based on FDA radar[J]. Journal of Signal Processing, 2022, 38(1): 28–34. doi: 10.16798/j.issn.1003-0530.2022.01.004
[15]	HUANG Bang, WANG Wenqin, BASIT A, et al. Bayesian detection in Gaussian clutter for FDA-MIMO radar[J]. IEEE Transactions on Vehicular Technology, 2022, 71(3): 2655–2667. doi: 10.1109/TVT.2021.3139894
[16]	HUANG Bang, BASIT A, GUI Ronghua, et al. Adaptive moving target detection without training data for FDA-MIMO radar[J]. IEEE Transactions on Vehicular Technology, 2022, 71(1): 220–232. doi: 10.1109/TVT.2021.3126781
[17]	桂荣华. 频控阵雷达自适应处理关键技术研究[D]. [博士论文], 电子科技大学, 2020. GUI Ronghua. Research on adaptive processing technology for frequency diverse array radar[D]. [Ph. D. dissertation], University of Electronic Science and Technology of China, 2020.
[18]	CHEN Xiaolong, GUAN Jian, and HE You. High resolution extraction of radar micro-Doppler signature using sparse time-frequency distribution[C]. 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, Montreal, Canada, 2017: 1–4.
[19]	CHEN Xiaolong, CHEN Baoxin, GUAN Jian, et al. Space-range-Doppler focus-based low-observable moving target detection using frequency diverse array MIMO radar[J]. IEEE Access, 2018, 6: 43892–43904. doi: 10.1109/ACCESS.2018.2863745
[20]	XU Jingwei, LIAO Guisheng, HUANG Lei, et al. Robust adaptive beamforming for fast-moving target detection with FDA-STAP radar[J]. IEEE Transactions on Signal Processing, 2017, 65(4): 973–984. doi: 10.1109/TSP.2016.2628340
[21]	GUI Ronghua, WANG Wenqin, CUI Can, et al. Coherent pulsed-FDA radar receiver design with time-variance consideration: SINR and CRB analysis[J]. IEEE Transactions on Signal Processing, 2018, 66(1): 200–214. doi: 10.1109/TSP.2017.2764860
[22]	GUI Ronghua, WANG Wenqin, and SHAO Huaizong. General receiver design for FDA radar[C]. 2018 IEEE Radar Conference (RadarConf18), Oklahoma, USA, 2018: 280–285.
[23]	林洋, 张顺生, 王文钦, 等. LFM正交调制的FDA-MIMO雷达运动目标检测[J]. 信号处理, 2019, 35(11): 1888–1894. doi: 10.16798/j.issn.1003-0530.2019.11.014 LIN Yang, ZHANG Shunsheng, WANG Wenqin, et al. FDA-MIMO radar moving target detection with LFM orthogonal modulation[J]. Journal of Signal Processing, 2019, 35(11): 1888–1894. doi: 10.16798/j.issn.1003-0530.2019.11.014