基于路网信息辅助的多星编队系统SAR-GMTI动目标径向速度估计与重定位方法

doi:10.12305/j.issn.1001-506X.2023.03.02

Abstract

Abstract:

In hybrid multi-baseline system configuration, terrain elevation of moving target can result in the target radial velocity estimation and relocation bias. To address this problem, we propose a moving target radial velocity estimation and relocation method based on the road network information assistance. Firstly, the elevation interferometric phase of moving target is estimated by the clutter sample data in the target neighborhood, and the height-difference between imaging position and real position of target is compensated based on prior road network information. Secondly, the target radial velocity can be estimated by adaptive matched filtering algorithm. Further, the target radial velocity estimation and relocation results are matched with the road network information to eliminate the false estimation. Finally, the radial velocity estimation and relocation results can be fed back to target elevation compensation processing. Final results are obtained by iterative processing. The experimental results of multi-satellite simulation data demonstrate that the proposed method can effectively eliminate the impact of target elevation, as well as improve the performance of target velocity estimation and relocation in the observation scene with topographic fluctuation.

Key words: radial velocity estimation, multi-satellite configuration, synthetic aperture radar (SAR), ground moving target indication (GMTI), terrain interferometric phase

CLC Number:

TN951

Xianghai LI, Zhiwei YANG, Shun HE, Guisheng LIAO, Chaolei HAN, Yan JIANG. Method for SAR-GMTI moving target radial velocity estimation and relocation based on road network information assistance in multi-satellite formation system[J]. Systems Engineering and Electronics, 2023, 45(3): 629-637.

Figures/Tables 11

Fig.1

Table 1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

Fig.9

Fig.10

References 30

1	GILL E , SUNDARAMOORTHY P , BOUWMEESTER J , et al. Formation flying within a constellation of nano-satellites: the QB50 mission[J]. Acta Astronautica, 2013, 82 (1): 110- 117. doi: 10.1016/j.actaastro.2012.04.029
2	ZONNO M, KRIEGER G, MITTERMAYER J, et al. A Mi-rrorSAR-based single-pass dual-baseline SAR interferometer for the generation of very high quality DEMs[C]//Proc. of the European Conference on Synthetic Aperture Radar, 2018.
3	CERUTTI-MAORI D , GIERULL C H , ENDER J H G . Optimum SAR/GMTI processing and its application to the radar sate- llite RADARSAT-2 for traffic monitoring[J]. IEEE Trans.on Geoscience and Remote Sensing, 2012, 50 (10): 3868- 3881. doi: 10.1109/TGRS.2012.2186637
4	ROBEY F C , FUHRMANN D R , KELLY E J , et al. A CFAR adaptive matched filter detector[J]. IEEE Trans.on Aerospace and Electronic Systems, 1992, 28 (1): 208- 216. doi: 10.1109/7.135446
5	申文杰, 韩冰, 林赟, 等. 多角度SAR动目标检测技术及其高分三号实验验证研究[J]. 雷达学报, 2020, 9 (2): 304- 320.
	SHEN W J , HAN B , LIN Y , et al. Multi-aspect SAR-GMTI and experimental research on Gaofen-3 SAR modes[J]. Journal of Radars, 2020, 9 (2): 304- 320.
6	WANG C H , LIAO G S , ZHANG Q J . First spaceborne SAR-GMTI experimental results for the Chinese Gaofen-3 dual-channel SAR sensor[J]. Sensors, 2017, 17 (12): 2683.
7	蔡斌. 分布式星载InSAR与SAR-GMTI信号处理研究[D]. 长沙: 国防科技大学, 2009.
	CAI B, Research on signal processing of distributed spaceborne InSAR and SAR-GMTI[D]. Changsha: National University of Defense Technology, 2009.
8	BAUMGARTNER S , KRIEGER G . Dual-platform large along-track baseline GMTI[J]. IEEE Trans.on Geoscience and Remote Sensing, 2016, 54 (3): 1554- 1574. doi: 10.1109/TGRS.2015.2483019
9	SUO Z Y , LI Z F , BAO Z , et al. SAR-GMTI investigation in hy brid along-and cross-track baseline InSAR[J]. Science in China Series F: Information Sciences, 2009, 52 (8): 1399- 1408. doi: 10.1007/s11432-009-0102-0
10	CHEN S X, JIANG L, XIANG M, et al. Detection ground slow moving target by airborne along-and across-track interfe-rometric SAR[C]//Proc. of the IEEE/CIE International Conference on Radar, 2011: 1623-1626.
11	索志勇, 李真芳, 保铮, 等. 混合基线InSAR构形下的SAR-GMTI方法研究[J]. 中国科学(F辑: 信息科学), 2009, 39 (8): 46- 54.
	SUO Z Y , LI Z F , BAO Z , et al. Research on SAR-GMTI method in hybrid baseline InSAR system configuration[J]. Scientic Sinica (Informationis), 2009, 39 (8): 46- 54.
12	LI X H , YANG Z W , HE S , et al. Nonhomogeneous clutter suppression based on terrain elevation interferometric phase compensation in multi-satellite formation systems[J]. Digital Signal Processing, 2021, 121, 103282.
13	刘颖, 廖桂生, 周争光. 对图像配准误差稳健的分布式星载SAR地面运动目标检测及高精度的测速定位方法[J]. 电子学报, 2007, 35 (6): 1009- 1014. doi: 10.3321/j.issn:0372-2112.2007.06.001
	LIU Y , LIAO G S , ZHOU Z G . A robust method to images registration of ground moving target detection and relocation for distributed small satellites synthetic aperture radar[J]. Chinese Journal of Electronics, 2007, 35 (6): 1009- 1014. doi: 10.3321/j.issn:0372-2112.2007.06.001
14	文珺, 廖桂生, 朱圣棋. 基于InSAR构型的地面运动目标检测与测速方法[J]. 系统工程与电子技术, 2010, 32 (3): 495- 498.
	WEN J , LIAO G S , ZHU S Q . Method for ground moving target indication and velocity estimation based on InSAR system[J]. Systems Engineering and Electronics, 2010, 32 (3): 495- 498.
15	KAI J , JIA X , YAO D , et al. SAR ground moving target indication via cross-track interferometry for a forward-looking-array[J]. IEEE Trans.on Aerospace and Electronic Systems, 2017, 53 (2): 966- 982. doi: 10.1109/TAES.2017.2667299
16	ZHANG C , DING Z G , DONG Z . Estimating ground movingtarget parameters for hybrid baseline multi-channel SAR based on migration features in the complex image domain[J]. International Journal of Remote Sensing, 2021, 42 (16): 6107- 6125. doi: 10.1080/01431161.2021.1934601
17	YANG L , WANG T , BAO Z . Ground moving target indication using an InSAR system with a hybrid baseline[J]. IEEE Trans.on Geoscience and Remote Sensing Letters, 2008, 5 (3): 373- 377. doi: 10.1109/LGRS.2008.916067
18	ROSAMILIA M , MAIO A D , AUBRY A , et al. Single-pulse simultaneous target detection and angle estimation in a multichannel phased array radar[J]. IEEE Trans.on Signal Processing, 2020, 68, 6649- 6664. doi: 10.1109/TSP.2020.3039883
19	BERTSEKAS D P . Nonlinear programming[M]. Belmont: Athena Scientific, 1999.
20	DRAGOSEVIC M V , BURWASH W , CHIU S . Detection and estimation with RADARSAT-2 moving-object detection experiment modes[J]. IEEE Trans.on Geoscience and Remote Sen-sing, 2012, 50 (9): 3527- 3543. doi: 10.1109/TGRS.2012.2184798
21	周岳勇, 程江华, 刘通, 等. 高分辨率SAR图像道路提取综述[J]. 计算机科学, 2020, 47 (1): 130- 141.
	ZHOU Y Y , CHENG J H , LIU T . Review of road extraction for high-resolution SAR images[J]. Computer Science, 2020, 47 (1): 130- 141.
22	LIU F , DUAN Y P , LI L L , et al. SAR image segmentation based on hierarchical visual semantic and adaptive neighborhood multinomial latent model[J]. IEEE Trans.on Geoscience and Remote Sensing, 2016, 54 (7): 4287- 4301. doi: 10.1109/TGRS.2016.2539155
23	ENDER J H G . Space-time processing for multichannel synthetic aperture radar[J]. Electronics & Communication Engineering Journal, 1999, 11 (1): 29- 38.
24	YANG J F , ZHANG Y H . An airborne SAR moving target imaging and motion parameters estimation algorithm with azimuth-dechirping and the second-order Keystone transform applied[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8 (8): 3967- 3976.
25	PASTINA D , TURIN F . Exploitation of the COSMO-SkyMed SAR system for GMTI applications[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sen-sing, 2015, 8 (3): 966- 979.
26	ENDER H G , GIERULL C H , CERUTTI-MAORI D . Improved space-based moving target indication via alternate transmission and receiver switching[J]. IEEE Trans. on Geoscience and Remote Sensing, 2008, 46 (12): 3960- 3974.
27	XIONG X , JIN G W , XU Q , ZHANG H M . Robust SAR image registration using rank-based ratio self-similarity[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14, 2358- 2368.
28	NIRMALA D E, VAIDEHI V. Non-subsampled contourlet based feature level fusion using fuzzy logic and golden section algorithm for multisensor imaging systems[C]//Proc. of the IEEE International Conference on Computer Graphics, Vision and Information Security, 2015: 110-115.
29	SPROHNLE K , FUCHS E , PELIZARI P A . Object-based analysis and fusion of optical and SAR satellite data for dwelling detection in refugee camps[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10 (5): 1780- 1791.
30	KUMAR M , DASS S . A Total variation-based algorithm for pixel-level image fusion[J]. IEEE Trans.on Image Processing, 2009, 18 (9): 2137- 2143.

参数	数值
雷达载频/GHz	10
信号带宽/MHz	50
脉冲重复频率/Hz	4 000
空间编队卫星数量	4
水平基线/m	[0, 40, 80, 120]
垂直基线1/m	[0, 30, 70, 100]
垂直基线2/m	[0, 30, 60, 90]
卫星轨道高度/km	700
卫星运行速度/(m·s^-1)	7 500

[1]	Tian MIAO, Hongcheng ZENG, He WANG, Jie CHEN. A fast extraction method of flood areas based on iterative threshold segmentation using spaceborne SAR data [J]. Systems Engineering and Electronics, 2022, 44(9): 2760-2768.
[2]	Caiyun WANG, Yida WU, Jianing WANG, Lu MA, Huanyue ZHAO. SAR image target recognition based on combinatorial optimization convolutional neural network [J]. Systems Engineering and Electronics, 2022, 44(8): 2483-2487.
[3]	Dongning FU, Guisheng LIAO, Yan HUANG, Bangjie ZHANG, Xing WANG. Time-varying narrow-band interference suppression algorithm for SAR based on graph Laplacian embedding [J]. Systems Engineering and Electronics, 2022, 44(6): 1846-1853.
[4]	Minghui GAI, Su ZHANG, Weitian SUN, Yude NI, Lei YANG. Structural-feature enhancement of SAR targets based on complex value compatible total variation [J]. Systems Engineering and Electronics, 2022, 44(6): 1862-1872.
[5]	Penghui JI, Dahai DAI, Shiqi XING, Dejun FENG. Dense false moving targets generation method [J]. Systems Engineering and Electronics, 2022, 44(5): 1502-1511.
[6]	Dong CHEN, Yanwei JU. Ship object detection SAR images based on semantic segmentation [J]. Systems Engineering and Electronics, 2022, 44(4): 1195-1201.
[7]	Lei YANG, Su ZHANG, Minghui GAI, Cheng FANG. High-resolution SAR imagery with enhancement of directional structure feature [J]. Systems Engineering and Electronics, 2022, 44(3): 808-818.
[8]	Junjie WANG, Dejun FENG, Weidong HU. Two-dimensional SAR image modulation method based on time-varying materials [J]. Systems Engineering and Electronics, 2022, 44(2): 455-462.
[9]	Cheng FANG, Huijuan LI, Wen LU, Yumeng SONG, Lei YANG. Multi-feature enhancement algorithm for high resolution SAR based on morphological auto-blocking [J]. Systems Engineering and Electronics, 2022, 44(2): 470-479.
[10]	Yu LEI, Xiangguang LENG, Xiaoyan ZHOU, Zhongzhen SUN, Kefeng JI. Recognition method of ship target in complex SAR image based on improved ResNet network [J]. Systems Engineering and Electronics, 2022, 44(12): 3652-3660.
[11]	Xiaoya JIA, Hongqiao WANG, Yadan YANG, Zhongma CUI, Bin XIONG. Anchor free SAR image ship target detection method based on the YOLO framework [J]. Systems Engineering and Electronics, 2022, 44(12): 3703-3709.
[12]	Zheng XU, Guangzhong GONG, Yunhua LUO, Guangde LI. Application of improved spatial variant apodization algorithm through constrained optimization in sidelobe suppression [J]. Systems Engineering and Electronics, 2022, 44(11): 3298-3304.
[13]	Baoping YANG, Maogang WEI, Zhichao BAO, Linsen YANG, Xiaoyu WANG. Comparative analysis of common coherent jamming technology against SAR [J]. Systems Engineering and Electronics, 2022, 44(11): 3397-3402.
[14]	Guang SUN, Shiqi XING, Datong HUANG, Yongzhen LI, Xuesong WANG. Jamming method of intermittent sampling against SAR-GMTI based on noise multiplication modulation [J]. Systems Engineering and Electronics, 2022, 44(10): 3059-3071.
[15]	Yonggang LI, Weigang ZHU, Qiongnan HUANG, Yuntao LI, Yonghua HE. Near-shore ship target detection with SAR images in complex background [J]. Systems Engineering and Electronics, 2022, 44(10): 3096-3103.

Method for SAR-GMTI moving target radial velocity estimation and relocation based on road network information assistance in multi-satellite formation system

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 11

References 30

Related Articles 15

Recommended Articles

Metrics

Comments