基于压缩感知的线状目标一维距离成像

DOI number:10.3724/SP.J.1146.2012.00891

Journal:电子与信息学报

Abstract:In conventional radar system, the resolution is constrained by Nyquist sampling rate. A large amount of data is created under the high-resolution requirement. Compressive Sensing (CS) relieves the demand of A/D converter and the capacity of memories. Under the framework of CS, a set of bases, which is incomplete but is based on the targets' features, is given out in this paper. A method is proposed for reconstruction that is compatible with the bases. The sparseness of the issue is not necessary for the proposed approach. And the method has very good performance on dealing with linear targets, especially when the lengths of the targets are very long. Furthermore, it can also resolve the multi-target issue. The simulation results verify the efficiency of the proposed algorithm.

First Author:朱志臻

Co-author:张志达,李滨兵,周崇彬

Indexed by:Journal paper

Correspondence Author:刘发林

Discipline:Engineering

Document Type:J

Volume:35

Issue:3

Page Number:568-574

Translation or Not:no

Date of Publication:2013-03-01