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2014 | OriginalPaper | Chapter

Decoupled Parameter Estimation for Coherently Distributed Source

Authors : Yinghua Han, Jinkuan Wang, Qiang Zhao

Published in: Foundations and Practical Applications of Cognitive Systems and Information Processing

Publisher: Springer Berlin Heidelberg

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Abstract

A computationally efficient method for the problem of estimating the parameters—the central direction of arrival (DOA) and angular spread of coherently distributed source is presented. The proposed method is based on Schur–Hadamard product which enables the estimation of the central DOA decoupled from that of angular spread of the source. So an underlying rotational invariance structure is exploited. Then the key idea is to apply the propagator method to estimate the central DOA, which only requires linear operations. The angular spread is estimated by a proposed second-order statistics sequently, from which the closed solution of angular spread is derived. An advantage of this method over the classical subspace-based algorithm, such as ESPRIT and MUSIC for distributed source, is that it does not apply any searching. Numerical examples illustrate the performance of the method.

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Metadata
Title
Decoupled Parameter Estimation for Coherently Distributed Source
Authors
Yinghua Han
Jinkuan Wang
Qiang Zhao
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
Book
Foundations and Practical Applications of Cognitive Systems and Information Processing

Print ISBN: 978-3-642-37834-8

Electronic ISBN: 978-3-642-37835-5

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-642-37835-5_47

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