雷达科学与技术2017，Vol.15Issue(4)：381-387,391,8.DOI:10.3969/j.issn.1672-2337.2017.04.008
基于扩展目标先验的贝叶斯压缩感知成像
Bayesian Compressed Sensing Imaging for Extended Target Based on Distribution of Prior Information
摘要
Abstract
Most of existing compressed sensing(CS)based radar imaging methods are based on the as-sumption that the targets are sparse enough.While in practice the large rigid targets,such as aircrafts and ships,are often extended in range and cross range dimensions.Therefore,the sparsity of the target space in the imaging scene is relatively poor.If traditional methods are utilized to make inversion of the target,the reconstruction performances would be severely degraded.By using the sparsity and continuity property of the target,a novel Bayesian CS-based imaging method is proposed in this paper.Experimental results verify the effectiveness of the proposed method.关键词
高分辨率成像/贝叶斯压缩感知/扩展目标/先验信息Key words
high-resolution imaging/Bayesian compressed sensing/extended target/prior information分类
信息技术与安全科学引用本文复制引用
王天云,刘冰,丛波,凌晓冬..基于扩展目标先验的贝叶斯压缩感知成像[J].雷达科学与技术,2017,15(4):381-387,391,8.基金项目
国家自然科学基金(No.61172155,61401140) （No.61172155,61401140）
国家 863 计划(No.2013AA122903) （No.2013AA122903）
