A Sum-of-Squares and Semidefinite Programming Approach for Maximum Likelihood DOA Estimation

A Sum-of-Squares and Semidefinite Programming Approach for Maximum Likelihood DOA Estimation

Direction of arrival (DOA) estimation using a uniform linear array (ULA) is a classical problem in array signal processing. In this paper, we focus on DOA estimation based on the maximum likelihood (ML) criterion, transform the estimation problem into a novel formulation, named as sum-of-squares (SO...

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Bibliographic Details
Main Authors: Shu Cai, Quan Zhou, Hongbo Zhu
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Sensors
Subjects:
DOA estimation
maximum likelihood
uniform linear array
sum-of-squares
semidefinite programming
alternating projection
Online Access:http://www.mdpi.com/1424-8220/16/12/2191

Internet

http://www.mdpi.com/1424-8220/16/12/2191

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