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

系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (3): 629-637.doi: 10.12305/j.issn.1001-506X.2023.03.02

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

李相海¹, 杨志伟¹^,*, 贺顺², 廖桂生¹, 韩超垒¹, 姜岩³

1. 西安电子科技大学雷达信号处理国家重点实验室, 陕西西安 710071
2. 西安科技大学通信与信息工程学院, 陕西西安 710054
3. 上海卫星工程研究所, 上海 200090

收稿日期:2021-10-14 出版日期:2023-02-25 发布日期:2023-03-09
通讯作者: 杨志伟
作者简介:李相海(1994—), 男, 博士研究生, 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
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, 以及合成孔径雷达地面运动目标指示处理
贺顺(1980—), 女, 副教授, 博士, 主要研究方向为自适应阵列信号处理、宽带信号处理
廖桂生(1963—), 男, 教授, 博士, 主要研究方向为空时自适应处理、天基预警和阵列信号处理
韩超垒(1993—), 男, 博士研究生, 主要研究方向为阵列雷达信号处理、空时自适应处理、多维信号处理、合成孔径雷达地面运动目标指示处理
姜岩(1982—), 男, 硕士, 主要研究方向为雷达系统建模仿真分析、干涉合成孔径处理
基金资助:
国家自然科学基金(62071481);上海航天科技创新基金(SAST2019036)

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

Xianghai LI¹, Zhiwei YANG¹^,*, Shun HE², Guisheng LIAO¹, Chaolei HAN¹, Yan JIANG³

1. National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China
2. Communication and Information Engineering College, Xi'an University of Science and Technology, Xi'an 710054, China
3. Shanghai Institute of Satellite Engineering, Shanghai 200090, China

Received:2021-10-14 Online:2023-02-25 Published:2023-03-09
Contact: Zhiwei YANG

摘要/Abstract

摘要：

针对混合多基线系统构型下由动目标高程导致的目标径向速度估计偏差和定位偏差问题，提出一种基于路网信息辅助的动目标径向速度估计与重定位方法。首先，利用目标邻域杂波样本估计动目标的高程干涉相位导向，并结合路网先验信息补偿目标成像位置与其真实位置之间的高程差；然后，采用自适应匹配滤波算法估计目标的径向速度，并进一步将目标径向速度估计及重定位结果与路网信息进行匹配，以消除虚假估计；最后，将目标径向速度估计与重定位结果用于辅助目标高程补偿，并通过迭代处理获得最终结果。基于多星仿真数据的实验结果表明，所提方法能够有效消除目标高程影响，提升多星编队系统在地形起伏背景下的目标径向速度估计和重定位性能。

关键词: 径向速度估计, 多星编队, 合成孔径雷达, 地面运动目标指示, 地形干涉相位

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

中图分类号:

TN951

李相海, 杨志伟, 贺顺, 廖桂生, 韩超垒, 姜岩. 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[J]. 系统工程与电子技术, 2023, 45(3): 629-637.

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.

图/表 11

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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

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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

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

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