A Real-Valued Approximate Message Passing Algorithm for ISAR Image Reconstruction

被引：0
|
作者：
Wei, Wenyi [1 ]
Wang, Caiyun [1 ]
Wang, Jianing [2 ]
Li, Xiaofei [2 ]
Sheng, Yuebin [2 ]
Liu, Chunsheng [2 ]
Huang, Panpan [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Astronaut, Nanjing 210016, Jiangsu, Peoples R China
[2] Beijing Inst Elect Syst Engn, Beijing 100854, Peoples R China
来源：
COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, CSPS 2018, VOL II: SIGNAL PROCESSING | 2020年 / 516卷
基金：
中国国家自然科学基金;
关键词：
Inverse synthetic aperture radar (ISAR); Image compressed sensing; Approximate message passing;
D O I：
10.1007/978-981-13-6504-1_81
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Compressed sensing (CS) theory describes the signal using space transformation to obtain linear observation data selectively, breaking through the limit of the traditional Nyquist theorem. In this paper, we aim at accelerating the current approximate message passing (AMP) and propose an approach named real-valued AMP (RAMP) for faster and better inverse synthetic aperture radar (ISAR) imaging reconstruction. The azimuth dictionary is first processed with real. We then use matrix processing to solve the AMP vector iterative method, by utilizing the relation between the quantification of matrix product and the Kronecker product. The experimental results are presented to demonstrate the validity of this method.
引用
收藏
页码：669 / 675
页数：7
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