摘要
双基地逆合成孔径(ISAR)成像中,一维距离像的分辨率因双基地角的存在而下降,为解决此问题,研究了双基地ISAR的一维距离成像算法。在分析复基带回波稀疏特性的基础上,将一维距离像的生成问题转化为噪声环境下信号的稀疏分解问题。利用可任意调节的时延单元构建冗余基,基于L曲线准则估计正则参数,最后利用推广的正则化FOCUSS算法估计复基带回波的稀疏分解系数,并据此生成目标的一维距离像。一维距离像分辨率取决于构建稀疏分解冗余基的延时单元,据此解决了双基地角对距离分辨率的限制问题,仿真实验验证了算法的有效性。
In bistatic inverse synthetic aperture radar （ISAR） imaging, resolution of one-dimensional range profile decreases be- cause of the bistatic angle. To solve this problem, algorithm for bistatic one-dimensional range profile imaging is researched. Based on the analysis of sparse characteristic of baseband echo, the problem of range profile imaging is converted to the signal sparse de- composition in noisy environment. With the alterable time-delay cell, regularization parameter is chosen by L-curve method. Then the sparse decomposition coefficients are estimated via generalized regularized focal undetermined system solver （FOCUSS） algo- rithm. Based on the coefficients, one-dimensional range profile is created. Resolution of range profile created through this algo- rithm could not be effected by bistatic angle and is totally decided by the time-delay cell. Simulation experiments validate the algo- rithm.
出处
《现代雷达》
CSCD
北大核心
2012年第4期24-27,共4页
Modern Radar
基金
国家“863”计划(2008AA0194)
关键词
双基地雷达
逆合成孔径雷达
一维距离像
稀疏正则化
bistatic radar
inverse synthetic radar
one-dimensional range profile
sparse regularization
