Performance Analysis of Two-Dimensional Maximum Likelihood Direction-of-Arrival Estimation Algorithm Using the UCA

We address the performance analysis of the maximum likelihood (ML) direction-of-arrival (DOA) estimation algorithm in the case of azimuth/elevation estimation of two incident signals using the uniform circular array (UCA). Based on the Taylor series expansion and approximation, we get explicit expre...

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Main Authors: Yun-Seong Cho, Jeong-Min Seo, Joon-Ho Lee
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2017/6926825
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author Yun-Seong Cho
Jeong-Min Seo
Joon-Ho Lee
author_facet Yun-Seong Cho
Jeong-Min Seo
Joon-Ho Lee
author_sort Yun-Seong Cho
collection DOAJ
description We address the performance analysis of the maximum likelihood (ML) direction-of-arrival (DOA) estimation algorithm in the case of azimuth/elevation estimation of two incident signals using the uniform circular array (UCA). Based on the Taylor series expansion and approximation, we get explicit expressions of the root mean square errors (RMSEs) of the azimuths and elevations. The validity of the derived expressions is shown by comparing the analytic results with the simulation results. The derivation in this paper is further verified by illustrating the consistency of the analytic results with the Cramer-Rao lower bound (CRLB).
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institution Kabale University
issn 1687-5869
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publishDate 2017-01-01
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series International Journal of Antennas and Propagation
spelling doaj-art-1d8c4451048a4984a2c389171fb4857b2025-02-03T05:46:19ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772017-01-01201710.1155/2017/69268256926825Performance Analysis of Two-Dimensional Maximum Likelihood Direction-of-Arrival Estimation Algorithm Using the UCAYun-Seong Cho0Jeong-Min Seo1Joon-Ho Lee2Department of Information & Communication Engineering, Sejong University, 98 Kunja-dong, Kwangjin-ku, Seoul 143-747, Republic of KoreaDepartment of Information & Communication Engineering, Sejong University, 98 Kunja-dong, Kwangjin-ku, Seoul 143-747, Republic of KoreaDepartment of Information & Communication Engineering, Sejong University, 98 Kunja-dong, Kwangjin-ku, Seoul 143-747, Republic of KoreaWe address the performance analysis of the maximum likelihood (ML) direction-of-arrival (DOA) estimation algorithm in the case of azimuth/elevation estimation of two incident signals using the uniform circular array (UCA). Based on the Taylor series expansion and approximation, we get explicit expressions of the root mean square errors (RMSEs) of the azimuths and elevations. The validity of the derived expressions is shown by comparing the analytic results with the simulation results. The derivation in this paper is further verified by illustrating the consistency of the analytic results with the Cramer-Rao lower bound (CRLB).http://dx.doi.org/10.1155/2017/6926825
spellingShingle Yun-Seong Cho
Jeong-Min Seo
Joon-Ho Lee
Performance Analysis of Two-Dimensional Maximum Likelihood Direction-of-Arrival Estimation Algorithm Using the UCA
International Journal of Antennas and Propagation
title Performance Analysis of Two-Dimensional Maximum Likelihood Direction-of-Arrival Estimation Algorithm Using the UCA
title_full Performance Analysis of Two-Dimensional Maximum Likelihood Direction-of-Arrival Estimation Algorithm Using the UCA
title_fullStr Performance Analysis of Two-Dimensional Maximum Likelihood Direction-of-Arrival Estimation Algorithm Using the UCA
title_full_unstemmed Performance Analysis of Two-Dimensional Maximum Likelihood Direction-of-Arrival Estimation Algorithm Using the UCA
title_short Performance Analysis of Two-Dimensional Maximum Likelihood Direction-of-Arrival Estimation Algorithm Using the UCA
title_sort performance analysis of two dimensional maximum likelihood direction of arrival estimation algorithm using the uca
url http://dx.doi.org/10.1155/2017/6926825
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