双基地ISAR稀疏孔径机动目标MTRC补偿成像算法

doi:10.12305/j.issn.1001-506X.2023.07.12

系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (7): 2022-2030.doi: 10.12305/j.issn.1001-506X.2023.07.12

双基地ISAR稀疏孔径机动目标MTRC补偿成像算法

朱瀚神¹, 胡文华¹^,*, 郭宝锋¹, 焦丽婷¹, 朱晓秀², 朱常安¹

1. 陆军工程大学石家庄校区电子与光学工程系, 河北石家庄 050003
2. 中国人民解放军32398部队, 北京 100192

收稿日期:2022-03-11 出版日期:2023-06-30 发布日期:2023-07-11
通讯作者: 胡文华
作者简介:朱瀚神 (1996—), 男, 硕士研究生, 主要研究方向为雷达信号处理、雷达成像技术
胡文华 (1970—), 男, 副教授, 博士, 主要研究方向为雷达故障诊断、雷达监测
郭宝锋 (1987—), 男, 讲师, 博士, 主要研究方向为雷达信号处理、雷达成像技术
焦丽婷 (1995—), 女, 硕士研究生, 主要研究方向为雷达信号处理、雷达图像融合
朱晓秀 (1993—), 女, 助理工程师, 博士, 主要研究方向为雷达信号处理、雷达图像融合、雷达成像技术
朱常安 (1989—), 男, 硕士研究生, 主要研究方向为雷达性能检测、雷达故障诊断
基金资助:
河北省自然科学基金(F2019506031);陆军工程大学基础前沿科技创新项目(KYSZJQZL2020)

Bistatic ISAR sparse aperture maneuvering target MTRC compensation imaging algorithm

Hanshen ZHU¹, Wenhua HU¹^,*, Baofeng GUO¹, Liting JIAO¹, Xiaoxiu ZHU², Chang'an ZHU¹

1. Department of Electronic and Optical Engineering, Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, China
2. Unit 32398 of the PLA, Beijing 100192, China

Received:2022-03-11 Online:2023-06-30 Published:2023-07-11
Contact: Wenhua HU

摘要/Abstract

摘要：

针对双基地逆合成孔径雷达(bistatic inverse synthetic aperture radar, Bi-ISAR)稀疏孔径条件下机动目标的越距离单元徙动(migration through range cells, MTRC)补偿难的问题, 提出了一种将Keystone变换与加权l₁范数稀疏约束最优化算法相结合的补偿并成像的算法。Bi-ISAR稀疏孔径机动目标回波完成平动补偿后, 假设目标图像各像元稀疏非同分布, 对每个距离单元建立含Keystone变换参数与时变双基地角的变尺度傅里叶变换稀疏基, 使用加权l₁范数稀疏约束最优化算法逐距离单元恢复方位向的散射系数并成像。实验结果证明了所提算法的有效性和鲁棒性。

关键词: 双基地逆合成孔径雷达, 稀疏孔径, 机动目标, 越距离单元徙动

Abstract:

Aiming at the problem that it is difficult to compensate the migration through range cells (MTRC) of maneuvering target under the condition of sparse aperture in bistatic inverse synthetic aperture radar (Bi-ISAR) system, a compensated imaging method combining Keystone transform and weighted l₁ norm sparse constrained optimization algorithm is proposed. Based on the Bi-ISAR sparse aperture echo data after translation compensation, assuming that each pixel of the target image is sparse and non identically distributed, a variable scale Fourier transform sparse basis with Keystone transform parameters and time-varying bistatic angle is established for each range cell, and the weighted l₁ norm sparse constrained optimization algorithm is used to recover the azimuth scattering coefficient imaging. Experimental results show the effectiveness and robustness of the proposed algorithm.

Key words: bistatic inverse synthetic aperture radar (Bi-ISAR), sparse aperture, maneuvering target, migration through range cells (MTRC)

中图分类号:

TN957.52

朱瀚神, 胡文华, 郭宝锋, 焦丽婷, 朱晓秀, 朱常安. 双基地ISAR稀疏孔径机动目标MTRC补偿成像算法[J]. 系统工程与电子技术, 2023, 45(7): 2022-2030.

Hanshen ZHU, Wenhua HU, Baofeng GUO, Liting JIAO, Xiaoxiu ZHU, Chang'an ZHU. Bistatic ISAR sparse aperture maneuvering target MTRC compensation imaging algorithm[J]. Systems Engineering and Electronics, 2023, 45(7): 2022-2030.

图/表 6

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成像参数	取值	成像参数	取值
载频/GHz	10	脉冲宽度/μs	20
带宽/MHz	800	脉冲重复频率/Hz	50
采样率/GHz	1	距离向分辨率/m	0.206 7
成像时间/s	10	方位向分辨率/m	0.262 8

衡量指标	算法	SNR/dB
衡量指标	算法	20	10	5	0
图像熵	EM-VB	2.874 5	2.901 4	2.952 4	3.052 4
	CoSaMP	2.327 1	2.572 4	2.677 5	2.895 2
	本文算法	2.012 4	2.195 7	2.342 4	2.467 5
TBR	EM-VB	12.349	11.427 5	10.106 5	9.562 4
	CoSaMP	24.795 1	21.224 7	18.032 6	12.774 5
	本文算法	29.336 5	26.716 3	23.425 7	20.454 5

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双基地ISAR稀疏孔径机动目标MTRC补偿成像算法

Bistatic ISAR sparse aperture maneuvering target MTRC compensation imaging algorithm

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