基于压缩感知的稀疏孔径认知ISAR成像方法

doi:10.3969/j.issn.1000-436x.2012.z2.038

摘要/Abstract

摘要：

针对运用压缩感知理论对ISAR目标成像时不同目标所需观测维数和积累时间不同的问题，提出了一种基于压缩感知的稀疏孔径认知ISAR高分辨成像方法。在对目标稀疏特性认知的基础上，构建了基于目标横向稀疏度和观测积累时间的随机观测矩阵，并给出了成像质量评估标准，实现了对有限雷达资源条件下ISAR目标的高分辨认知成像。仿真结果表明，利用该方法成像，不仅可以减少雷达成像发射脉冲数，而且可以有效减少目标成像的时间，同时还能获得高质量的目标ISAR像。

关键词: 逆合成孔径雷达, 压缩感知, 认知成像

Abstract:

Focused on the problem that different ISAR targets required different measurement dimension and different imaging time when they were imaging with compressed sensing(CS)theory,a cognitive high-resolution imaging method based on CS was proposed.According to the cognition of the sparsity of the radar target,a stochastic measurement matrix was established based on the imaging time and the target’s cross-range sparsity.An evaluate criterion of imaging quality was also present.Based on this,the cognitive high-resolution imaging was realized with the limited radar resource.Simulation results indicate that the proposed method can gain the high quality ISAR imaging with much less transmitted pulses and shorter imaging time compare to traditional imaging radar.

Key words: inverse synthetic aperture radar(ISAR), compressed sensing(CS), cognitive imaging

孙凤莲,张群,罗迎,顾福飞,王国正. 基于压缩感知的稀疏孔径认知ISAR成像方法[J]. 通信学报, 2012, 33(Z2): 262-269.

Feng-lian SUN,Qun ZHANG,Ying LUO,Fu-fei GU,Guo-zheng WANG. Imaging method based on compressed sensing for the cognitive sparse aperture of ISAR[J]. Journal on Communications, 2012, 33(Z2): 262-269.

图/表 11

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图2

图3

表1

图4

图5

图6

表2

系统自适应调整参数"

参变量	时段T_i/s
参变量	T₁＝0.1	T₂＝0.2	T₃＝0.3	T₄＝0.4	T₅＝0.5	T₆＝0.6	T₇ ＝0.7
脉冲总数M_i	100	116	127	138	150	162	173
$稀疏度估计 {\hat{K}}_{i}$	44	29	28	33	32	28	29
$相关系数 a_{i, i - 1}$	0	0.720 3	0.775 4	0.846 8	0.851 6	0.898 6	0.927 3

表2

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图8

图9

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仿真参数	值
信号载频(f_c)	10GHz
脉冲带宽(B)	300MHz
脉冲重复频率(PRF)	1 000MHz
距离向分辨率(?r)	0.5m
期望的方位向分辨率(?a)	0.5m