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Efficient Underdetermined DOA Estimation Algorithm by Extending Covariance Matrix based on Non-Circularity using Coprime Array

by Kashif Shabir, Zhongfu Ye, Tarek Hasan Al Mahmud, Yawar Ali Sheikh, Rizwan Ullah
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Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 1
Year of Publication: 2017
Authors: Kashif Shabir, Zhongfu Ye, Tarek Hasan Al Mahmud, Yawar Ali Sheikh, Rizwan Ullah
10.5120/cae2017652580

Kashif Shabir, Zhongfu Ye, Tarek Hasan Al Mahmud, Yawar Ali Sheikh, Rizwan Ullah . Efficient Underdetermined DOA Estimation Algorithm by Extending Covariance Matrix based on Non-Circularity using Coprime Array. Communications on Applied Electronics. 7, 1 ( May 2017), 1-5. DOI=10.5120/cae2017652580

@article{ 10.5120/cae2017652580,
author = { Kashif Shabir, Zhongfu Ye, Tarek Hasan Al Mahmud, Yawar Ali Sheikh, Rizwan Ullah },
title = { Efficient Underdetermined DOA Estimation Algorithm by Extending Covariance Matrix based on Non-Circularity using Coprime Array },
journal = { Communications on Applied Electronics },
issue_date = { May 2017 },
volume = { 7 },
number = { 1 },
month = { May },
year = { 2017 },
issn = { 2394-4714 },
pages = { 1-5 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume7/number1/729-2017652580/ },
doi = { 10.5120/cae2017652580 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T20:01:13.260563+05:30
%A Kashif Shabir
%A Zhongfu Ye
%A Tarek Hasan Al Mahmud
%A Yawar Ali Sheikh
%A Rizwan Ullah
%T Efficient Underdetermined DOA Estimation Algorithm by Extending Covariance Matrix based on Non-Circularity using Coprime Array
%J Communications on Applied Electronics
%@ 2394-4714
%V 7
%N 1
%P 1-5
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Real world signals are non-stationary but can be modeled as stationary within the local time frames. These types of signals are called quasi stationary signals (QSS). In this paper a Khatri-Rao (KR) subspace based direction of arrival (DOA) estimation of QSS is considered by designing a coprime array structure. This structure provides an alternative way to enhance the degrees of freedom (DOF) and it can also eliminate mutual coupling effects. One of the most important observations is that the covariance matrix can be extended based on non-circularity of QSS. The covariance matrix exhibits non-circularity due to the non-circular behavior of QSS. Exploiting the non-circularity an extended covariance matrix (ECM) is designed to achieve higher DOF. Hence, the proposed algorithm has the capability to uniquely estimate DOA’s more than twice the number of sensors. Simulation results show that the proposed algorithm can achieve better performance as compared to Khatri-Rao (KR) subspace, coprime array with displaced arrays (CADiS) and nested array based techniques under various situations.

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Index Terms

Computer Science
Information Sciences

Keywords

Quasi stationary signals Khatri-Rao extended covariance matrix degrees of freedom mutual coupling and direction of arrival.

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