Algebraic algorithm for mixed near-field and far-field sources classification and localization

Kai Wang, Ling Wang, Zhaolin Zhang, Jian Xie

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

摘要

Using uniform linear array (ULA), a passive localization algorithm is presented for mixed far-field (FF) and near-field (NF) signals scenarios. Based on the high-order cumulant (HOC) technique, a special Hermite matrix is constructed by three fourth-order cumulant matrices, which are calculated by dividing the ULA into two sub-arrays. Then, the special matrix of signals is decomposed to obtain the source subspace. According to ESPRIT algorithm, two transformation matrices of all sub-arrays can be obtained. Meanwhile, the two transformation matrixes could be used to calculate the range and angles of arrival (AOA) of NF sources, as well as AOAs of FF sources. Moreover, compared with two-stage MUSIC (TSMUSIC) and four-order cumulant MUSIC method, the proposed algorithm has higher accuracy for localisation of both FF and NF sources without any spectral search.

源语言英语
页(从-至)125-136
页数12
期刊Progress In Electromagnetics Research C
83
DOI
出版状态已出版 - 2018

指纹

探究 'Algebraic algorithm for mixed near-field and far-field sources classification and localization' 的科研主题。它们共同构成独一无二的指纹。

引用此