多子带融合解动目标径向速度模糊方法

doi:10.12305/j.issn.1001-506X.2025.03.11

系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (3): 788-796.doi: 10.12305/j.issn.1001-506X.2025.03.11

• 传感器与信号处理 • 上一篇

多子带融合解动目标径向速度模糊方法

杨志伟¹^,*, 杨安东¹, 梁庚辰¹, 李相海¹, 李晓蕊², 刘杰²

1. 西安电子科技大学雷达信号处理全国重点实验室, 陕西西安 710071
2. 中国空间技术研究院遥感卫星总体部, 北京 100094

收稿日期:2024-01-16 出版日期:2025-03-28 发布日期:2025-04-18
通讯作者: 杨志伟
作者简介:杨志伟 (1980—), 男, 教授, 博士, 主要研究方向为空时自适应处理、多维信号处理、天基雷达动目标检测、SAR-GMTI处理
杨安东 (1999—), 男, 硕士研究生, 主要研究方向为SAR-GMTI处理、目标检测与参数估计
梁庚辰 (2000—), 男, 硕士研究生, 主要研究方向为星载SAR-GMTI信号处理与工程实现
李相海 (1994—), 男, 博士后, 主要研究方向为空时自适应处理、目标检测与参数估计、多星编队系统相参信号处理
李晓蕊 (1998—), 女, 工程师, 硕士, 主要研究方向为雷达系统总体设计、雷达抗干扰、雷达信号处理
刘杰 (1976—), 男, 研究员, 博士, 主要研究方向为卫星总体设计技术
基金资助:
国家自然科学基金(62071481);国家资助博士后研究人员计划(BX20230277)

Multi-subband fusion for radial velocity ambiguity resolution

Zhiwei YANG¹^,*, Andong YANG¹, Gengchen LIANG¹, Xianghai LI¹, Xiaorui LI², Jie LIU²

1. National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China
2. Institute of Remote Sensing Satellite of China Academy of Space Technology, Beijing 100094, China

Received:2024-01-16 Online:2025-03-28 Published:2025-04-18
Contact: Zhiwei YANG

摘要/Abstract

摘要：

针对中国余数定理一类的方法在解模糊时存在错误概率增大的问题, 提出一种多子带相干融合解模糊方法。首先, 估计出运动目标在各频点的导向, 然后, 依次对各参考频点求解聚焦变换矩阵, 并通过空间聚焦处理提高动目标径向速度估计精度, 最后, 进行解模糊处理。仿真和实测数据的处理结果表明, 所提方法可有效改善动目标径向速度估计精度, 并提高正确解模糊的概率。

关键词: 合成孔径雷达, 速度模糊, 子带处理, 径向速度估计, 解模糊

Abstract:

A multi-subband coherent fusion de-ambiguity method is proposed to address the issue of increased error probability in solving de-ambiguity problems using methods based on the Chinese Remainder Theorem. Firstly, the proposed method estimates the steering vectors of the moving targets in each frequency band. Then, the method sequentially solves the focusing transformation matrix at each reference frequency and employs spatial focusing processing to improve the accuracy of radial velocity estimation for the moving targets. Finally, de-ambiguity processing is performed. The results of simulation and real data demonstrate that the proposed method effectively improves the accuracy of radial velocity estimation for moving targets and increases the probability of correctly resolving ambiguities.

Key words: synthetic aperture radar (SAR), velocity ambiguity, subband processing, radial velocity estimation, ambiguity resolution

中图分类号:

TN951

杨志伟, 杨安东, 梁庚辰, 李相海, 李晓蕊, 刘杰. 多子带融合解动目标径向速度模糊方法[J]. 系统工程与电子技术, 2025, 47(3): 788-796.

Zhiwei YANG, Andong YANG, Gengchen LIANG, Xianghai LI, Xiaorui LI, Jie LIU. Multi-subband fusion for radial velocity ambiguity resolution[J]. Systems Engineering and Electronics, 2025, 47(3): 788-796.

图/表 16

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参考文献 30

9	HENNESST B, YARDLEY H, HOLDSWORTH D A, et al. Velocity ambiguity resolution using opposite chirprates with LFM radar[C]//Proc. of the IEEE International Radar Conference, 2023.
10	YANG L , WANG T , BAO Z . New method for solving the ambiguity of the radial velocity of a moving target[J]. Journal of Xidian University, 2009, 36 (2): 189- 192.
11	WANG Z F, YU J P, YANG Y H. Resolving range and velocity ambiguity effectively and efficiently with GPU[C]//Proc. of the International Conference on Radar, 2021: 1122-1126.
12	KAHLERT M, FEI T, TEBRUEGGE C, et al. Doppler ambiguity resolution for a pmcw automotive radar system[C]//Proc. of the 20th European Radar Conference, 2023: 73-76.
13	WANG Y X, ZHU S Q, LIAO G S, et al. Resolving Doppler ambiguity via spread phase alignment in FDA-MIMO radar[C]// Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2023.
14	ZHU J, LI Y, DUAN C D, et al. A range and velocity ambiguity resolution method based on ambiguity matrix completion and elimination with low SNR[C]//Proc. of the IEEE International Conference on Signal, Information and Data Processing, 2019.
15	QUINT A , NUSS B , DIEWALD A , et al. System architecture for a compact high range resolution frequency comb OFDM radar[J]. International Journal of Microwave and Wireless Technologies, 2023, 15 (6): 975- 982. doi: 10.1017/S1759078722001441
16	DING C , MU H L , ZHANG Y . A multicomponent linear frequency modulation signal-separation network for multi-moving-target imaging in the SAR-ground-moving-target indication system[J]. Remote Sensing, 2024, 16 (4): 605. doi: 10.3390/rs16040605
17	郁文贤, 何劲, 舒汀, 等. 基于子带处理的宽带阵列雷达的干扰抑制方法[J]. 现代雷达, 2021, 43 (8): 1- 8.
	YU W X , HE J , SHU T , et al. Jamming cancellation method for wideband array radar based on subbanding[J]. Modern Radar, 2021, 43 (8): 1- 8.
18	WANG Y P, LEI M, ZHANG Y, et al. A high precision ballistic target recognition framework using multi-subband fusion[C]// Proc. of the International Applied Computational Electromagnetics Society Symposium, 2023.
19	HUANG Q , WEI S P , ZHANG L . Radar interferometric phase ambiguity resolution using viterbi algorithm for high-precision space target positioning[J]. IEEE Signal Processing Letters, 2023, 30, 1242- 1246. doi: 10.1109/LSP.2023.3313092
20	TRUNK G, BROCKETT S. Range and velocity ambiguity re-solution[C]//Proc. of the IEEE International Radar Conference, 1993: 146-149.
1	HUO T Y, LI Y K, YANG C X, et al. A novel imaging method for MEO SAR-GMTI systems[C]//Proc. of the IEEE Inter-national Geoscience and Remote Sensing Symposium, 2022: 2498-2501.
2	ZHANG Y H, LI Y K. A study on range equation modeling for distributed MEO SAR-GMTI[C]// Proc. of the IEEE International Geoscience and Remote Sensing Symposium, 2023: 8154-8157.
3	ZONNO M, KRIEGER G, MITTERMAYER J, et al. A MirrorSAR-based single-pass dual-baseline SAR interferometer for the generation of very high quality DEMs[C]//Proc. of the European Conference on Synthetic Aperture Rada, 2018.
4	LI Y F, DUAN K Q, WANG Y L. Reduced-dimensional 3D-STAP with multibeam and multichannel for space-based radar[C]//Proc. of the IEEE International Radar Conference, 2023.
5	CHEN J Y, HUANG P H, XI P L, et al. Approach for along-track baseline distribution design in a multi-satellite distributed space-based radar system[C]//Proc. of the IEEE International Geoscience and Remote Sensing Symposium, 2023: 6125-6128.
6	HUANG L B , LI X , WAN W T , et al. Frequency diverse array introduced into SAR GMTI to mitigate blind velocity and Doppler ambiguity[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19, 4507605.
7	DOERRY A W. A study of pulse-Doppler radar pulse repetition frequency[EB/OL]. [2023-12-16]. https://doi.org/10.2172/2431758.
8	DINH K N, VAN L N, NHU T N, et al. Ambiguity resolution for ground-based pulse-doppler radars using multiple medium PRF[C]//Proc. of the International Conference on Signal Processing Systems, 2022: 102-108.
21	LEI W, LONG T, HAN Y Q. Resolution of range and velocity ambiguity for a medium pulse Doppler radar[C]//Proc. of the IEEE International Radar Conference, 2000: 560-564.
22	WANG W J , XIA X G . A closed-form robust chinese remainder theorem and its performance analysis[J]. IEEE Trans. on Signal Processing, 2010, 58 (11): 5655- 5666. doi: 10.1109/TSP.2010.2066974
23	CHI C , VISHNU H , BENG K T , et al. Robust resolution of velocity ambiguity for multifrequency pulse-to-pulse coherent doppler sonars[J]. IEEE Journal of Oceanic Engineering, 2019, 45 (4): 1506- 1515.
24	张小涵, 刘润华, 汪枫, 等. 基于筛选法的球载雷达解距离模糊改进方法[J]. 中国电子科学研究院学报, 2019, 14 (2): 189- 195.
25	CHEN J , YANG C G , WANG D , et al. Optical imaging method of synthetic-aperture radar for moving targets[J]. Remote Sensing, 2024, 16 (7): 1170. doi: 10.3390/rs16071170
26	YANG B , LIU S Q , ZHANG H , et al. A velocity ambiguity resolution algorithm based on improved hypothetical phase compensation for TDM-MIMO radar traffic target imaging[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17, 3409- 3424. doi: 10.1109/JSTARS.2024.3352082
27	DING C S . Chinese remainder theorem[M]. Singapore: World Scientific, 1996.
28	WANG H , KAVEH M . Coherent signal-subspace processing for the detection and estimation of arrival wideband sources[J]. IEEE Trans. on Acoustics Speech & Signal Processing, 1985, 33 (4): 823- 831.
29	CAO S L , ZENG W G , XU H Q . Broadband DOA estimation method based on eigenvector space focusing[J]. Systems Engineering and Electronics, 2021, 43 (2): 294- 299.
30	ROSEN P , HENSLEY S , JOUGHIN I , et al. Synthetic aperture radar interferometry[J]. Proceedings of the IEEE, 2000, 88 (3): 333- 382. doi: 10.1109/5.838084

参数	数值
中心频率/GHz	9.6
子带频率间隔/MHz	200
子带个数	4
通道间距/m	5
通道个数	4
平台速度/(m/s)	7 200

参数	数值
中心频率波段	X波段
信号带宽/MHz	780
脉冲重复频率/Hz	1 000
顺轨基线/m	0.9
平台高度/m	8 000
平台速度/(m/s)	125

子带序号	V₁	V₂	V₃
1	1.352	1.450	1.401
2	1.434	1.605	1.751
3	1.732	1.756	1.901
4	1.738	1.905	1.952
5	2.026	2.121	2.073
6	-1.889	-2.169	-1.609
7	-1.916	-2.008	-1.293

序号	目标速度真实值	目标速度测得值	所提方法处理结果
Part1	2.421	2.061	2.087
Part2	2.318	2.069	2.071
Part3	2.219	2.051	2.052
Part4	2.103	1.870	1.901

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多子带融合解动目标径向速度模糊方法

Multi-subband fusion for radial velocity ambiguity resolution

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