Enhanced covariances matrix sparse representation method for DOA estimation

Wei Cui, Tong Qian*, Jing Tian

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

13 引用 (Scopus)

摘要

An enhanced covariances sparse representation method for direction-of-arrival (DOA) estimation is proposed. The method can estimate coherent sources with low computation complexity. The cross-Kronecker product terms of the steering vector are introduced as an extra basis to improve the sparse model. Based on the enhanced model and iteration operation, the proposed method has greater precision in multiple coherent sources situations. Compared with several existing DOA estimation methods, simulation experiments have validated the effectiveness of the proposed method.

源语言英语
页(从-至)1288-1290
页数3
期刊Electronics Letters
51
16
DOI
出版状态已出版 - 6 8月 2015

指纹

探究 'Enhanced covariances matrix sparse representation method for DOA estimation' 的科研主题。它们共同构成独一无二的指纹。

引用此