Joint DOA and Degree-of-Polarization Estimation of Partially-Polarized Signals Using Nested Arrays

被引：16

作者：

Shu, Ting ^{[1
]}

He, Jin ^{[1
]}

Han, Xiaodong ^{[1
]}

Li, Xiaoming ^{[1
]}

Yu, Kai-Bor ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai Key Lab Intelligent Sensing & Recognit, Shanghai 200240, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2020年 / 24卷 / 10期

基金：

中国国家自然科学基金;

关键词：

Quaternions; Estimation; Direction-of-arrival estimation; Covariance matrices; Array signal processing; Sensor arrays; DOA estimation; degree-of-polarization; quaternions; partially polarized; nested array; MUSIC; ANGLE-FREQUENCY ESTIMATION; MATRICES;

D O I：

10.1109/LCOMM.2020.3004369

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

A quaternion-based method is developed to estimate direction-of-arrival (DOA) and degree-of-polarization (DOP) of multiple partially polarized (PP) electromagnetic (EM) source signals, based on the data collected by a linear nested cross-dipole sensor array. The basic insight of the new method for DOA estimation is to form a quaternion vector by exploiting the vectorization of horizontal and vertical polarization data correlation matrices to formulate a quaternion version of MUSIC algorithm. Based on the estimation of DOAs, the DOPs of signals are subsequently estimated by using the Stokes vectors. The performance of the presented method is evaluated and compared with that of conventional complex-based methods.

引用

页码：2182 / 2186

页数：5

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