电子学报2018，Vol.46Issue(4)：840-848,9.DOI:10.3969/j.issn.0372-2112.2018.04.011
低信噪比下二维联合快速超分辨B-ISAR成像方法
A Fast Two Dimensional Joint Super-Resolution B-ISAR Imaging Algorithm Under Low SNR
摘要
Abstract
In B-ISAR imaging,the range resolution and cross-range resolution are dependent on the signal band and the coherent processing interval,respectively.Generally,the B-ISAR image is seriously affected by noise.In this paper,a matrix form of complex approximate message passing algorithm based on two dimensional coupled dictionaries (MCAMP-TCD) is presented,by considering the 2D coupling sparse feature of the echo.Firstly,the range-azimuth 2D joint B-ISAR imaging model is established.Then the 2D joint super-resolution imaging problem is converted into a complex basis pursuit denoising (C-BPDN) problem through vectorization operation.Secondly,two strategies are implemented to solve C-BPDN problem quickly,the first strategy is utilizing the relation between vectorization operation and Kronecker product to derivate the matrix form of complex approximate message passing algorithm,which can avoid the high computational complexity and memory requirements due to vectorization operation.In second strategy,the two dimensional fast Fourier transform (2D FFT) is introduced to equivalent matrix multiplication,which further reduces the computational complexity of the single iteration.At last,the imaging capability under low signal to noise ratio (SNR) is improved by the ability to accurately approximate the noise threshold of the MCAMP-TCD.Simulation results verify the effectiveness of the proposed method.关键词
双基地逆合成孔径雷达/二维超分辨成像/复数近似消息传递/压缩感知Key words
bistatic inverse synthetic aperture radar (B-ISAR)/2D super-resolution imaging/complex approximate message passing/compressive sensing分类
信息技术与安全科学引用本文复制引用
陈文峰,李少东,杨军,马晓岩..低信噪比下二维联合快速超分辨B-ISAR成像方法[J].电子学报,2018,46(4):840-848,9.基金项目
国家自然科学基金(No.61671469) （No.61671469）
