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利用块稀疏特性的压缩感知麦克风阵列声源定位
Authors
李剑汶
章宇栋
童峰
黄惠祥
Publication date
15 July 2019
Publisher
Doi
Cite
Abstract
与传统声源定位算法如相位变换加权、时延累加定位不同,压缩感知麦克风阵列声源定位算法可将声源定位转化为稀疏重构问题从而获得较高的性能。但在实际应用环境下,由于远场声源自身指向性、空间混响等原因,声源方向向量往往呈现块稀疏度结构,导致采用传统稀疏恢复算法如正交匹配追踪算法(Orthogonal matching pursuit,OMP)等进行压缩感知定位性能下降。本文在压缩感知声源定位算法中引入块稀疏似零范数,以压缩感知为基本框架,采用块稀疏似零范数稀疏恢复进行声源方向向量的重构,获取声源的方位。实验结果表明,相较于传统声源定位算法和基于OMP的压缩感知声源定位算法,本文算法具有更高的定位精度。国家自然科学基金(11574258)资助项目;;\n福建省高校产学合作(2015H6019)资助项目;;\n重点实验室基金一般项目(6142109180303)资助项
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Last time updated on 20/11/2020