基于GTD模型的多视角多频带ISAR融合成像

doi:10.12305/j.issn.1001-506X.2023.03.13

系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (3): 726-735.doi: 10.12305/j.issn.1001-506X.2023.03.13

基于GTD模型的多视角多频带ISAR融合成像

朱晓秀¹^,², 刘利民¹^,*, 胡文华¹, 郭宝锋¹, 史林¹, 朱瀚神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:2021-03-25 出版日期:2023-02-25 发布日期:2023-03-09
通讯作者: 刘利民
作者简介:朱晓秀(1993—), 女, 工程师, 博士, 主要研究方向为逆合成孔径雷达成像、压缩感知理论
刘利民(1971—), 男, 教授, 博士, 主要研究方向为雷达电子对抗、雷达成像
胡文华(1970—), 男, 副教授, 博士, 主要研究方向为雷达设备故障诊断
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
史林(1985—), 男, 讲师, 博士, 主要研究方向为雷达信号处理、雷达成像技术
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
基金资助:
国家自然科学基金(61601496);河北省自然科学基金(F2019506031);河北省自然科学基金(F2019506037);河北省自然科学基金(F2020506036);陆军工程大学前沿创新项目(KYSZJQZL2005);陆军工程大学基础前沿科技创新项目(KYSZJQZL2020);陆军工程大学石家庄校区科研创新发展基金(KYSZJQZL1902)

Multi-angle and multi-band ISAR fusion imaging based on GTD model

Xiaoxiu ZHU¹^,², Limin LIU¹^,*, Wenhua HU¹, Baofeng GUO¹, Lin SHI¹, Hanshen ZHU¹

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

Received:2021-03-25 Online:2023-02-25 Published:2023-03-09
Contact: Limin LIU

摘要/Abstract

摘要：

多视角多频带逆合成孔径雷达(inverse synthetic aperture radar, ISAR)融合成像技术克服了单雷达成像分辨率受发射带宽和观测视角的限制, 是提高ISAR成像的二维分辨率的新手段。在宽带小角度观测条件下, 针对目标散射系数随频率变化的情况, 提出一种基于几何绕射理论(geometrical theory of diffraction, GTD)模型的多视角多频带ISAR融合成像方法。首先, 以GTD模型为基础建立ISAR成像回波模型; 然后, 将多视角多频带ISAR融合成像问题转化为信号稀疏重构问题, 并采用正交匹配追踪算法求解, 在保证融合成像质量的同时提高了的成像效率; 最后, 利用仿真实验验证了所提方法的有效性。

关键词: 逆合成孔径雷达成像, 几何绕射理论模型, 多视角多频带融合成像, 正交匹配追踪算法

Abstract:

Multi-angle and multi-band inverse synthetic aperture radar (ISAR) fusion imaging technology can overcome the limitation of the imaging resolution by the transmitting bandwidth and the observation angle in a monostatic radar system. It is a new method to improve the two-dimensional resolution of ISAR imaging. Under the condition of wide-bandwidth and small-angle observation, the scattering coefficients of target vary with frequency. A multi-angle and multi-band ISAR fusion imaging method based on the geometrical theory of diffraction (GTD) model is proposed. First, the ISAR imaging signal model is established based on the GTD model. Then, the multi-angle and multi-band ISAR fusion imaging problem is transformed into a signal sparse reconstruction problem. Orthogonal matching pursuit (OMP) algorithm is utilized to reconstruct the signal and achieve ISAR fusion imaging. The algorithm can improve the imaging efficiency while ensuring the ISAR fusion imaging quality. Finally, simulation experiments are utilized to verify the effectiveness of the proposed method.

Key words: inverse synthetic aperture radar (ISAR) imaging, geometrical theory of diffraction (GTD) model, multi-angle and multi-band fusion imaging, orthogonal matching pursuit (OMP) algorithm

中图分类号:

朱晓秀, 刘利民, 胡文华, 郭宝锋, 史林, 朱瀚神. 基于GTD模型的多视角多频带ISAR融合成像[J]. 系统工程与电子技术, 2023, 45(3): 726-735.

Xiaoxiu ZHU, Limin LIU, Wenhua HU, Baofeng GUO, Lin SHI, Hanshen ZHU. Multi-angle and multi-band ISAR fusion imaging based on GTD model[J]. Systems Engineering and Electronics, 2023, 45(3): 726-735.

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散射点类型	频率依赖因子
平面反射	1
单曲面反射	0.5
点散射中心	0
边缘绕射	-0.5
角绕射	-1

参数	散射点
参数	算法	A	B
坐标/m	正则化算法	(-0.12, -0.15)	(0.12, 0.05)
坐标/m	OMP算法	(-0.12, -0.10)	(0.12, 0.10)
频率依赖因子	正则化算法	0.5	-1
频率依赖因子	OMP算法	0.5	-1

指标	算法	情形1	情形2	情形3
运行时间/s	正则化算法	1 513.71	1 258.78	975.53
运行时间/s	OMP算法	7.48	4.78	3.39
IC	正则化算法	7.565 8	6.875 3	5.708 4
IC	OMP算法	8.453 6	8.190 3	7.674 5
TBR	正则化算法	25.534 6	21.270 3	16.045 2
TBR	OMP算法	28.453 2	24.944 2	20.956 4

指标	算法	SNR/dB
指标	算法	20	10	0
IC	正则化算法	6.875 3	6.023 4	5.101 2
IC	OMP算法	8.190 3	7.424 3	6.682 3
TBR	正则化算法	21.270 3	18.302 3	15.049 2
TBR	OMP算法	24.944 2	22.538 2	20.349 2

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基于GTD模型的多视角多频带ISAR融合成像

Multi-angle and multi-band ISAR fusion imaging based on GTD model

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