Low-Complexity Estimation of DOA and Angular Spread for an Incoherently Distributed Source

Authors:
Zhi Zheng;Guangjun Li
Affiliations:
School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China 610054;School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China 610054
Venue:
Wireless Personal Communications: An International Journal
Year:
2013

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Abstract

In this paper, a low-complexity method is proposed for the parametric estimation of an incoherently distributed (ID) source, using a uniform linear array. Based on the Taylor approximation property of the noise-free covariance matrix, the proposed method firstly decouples the estimation of the nominal direction-of-arrival (DOA) from that of the angular spread. And then utilizing the nominal DOA estimation and a special cost function, the angular spread can be estimated by constructing one-dimensional (1-D) searching spectrum. Compared with some existing techniques, our approach requires a much lower computational cost and can exhibit a better estimation performance in a single ID source case, especially for low signal-to-noise ratio. Simulation results illustrate the performance of the proposed method.