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Proceedings Paper

Direction-of-arrival estimation in unknown correlated noise using MUSIC and higher order statistics
Author(s): Hsien-Sen Hung; Keshi Chen
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Paper Abstract

In this paper we consider the direction-of-arrival (DOA) estimation of Gaussian signals in non- Gaussian noise of unknown spatial correlations. The proposed method involves two primary steps. Firstly, the third-order cumulant function of the random wavefield received by an array of sensors is estimated and then projected onto the correlation domain to exploit the correlations of noise across the sensors in an array. Secondly, the estimated noise correlation matrix is then utilized in a correlation-based eigenstructure method, such as MUSIC, for DOA estimation. As expected, the proposed method improves the performance of MUSIC which requires the knowledge of noise correlation. Numerical simulation results for both the MUSIC and proposed algorithms are presented and compared.

Paper Details

Date Published: 28 October 1994
PDF: 10 pages
Proc. SPIE 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V, (28 October 1994); doi: 10.1117/12.190858
Show Author Affiliations
Hsien-Sen Hung, Iowa State Univ. (Taiwan)
Keshi Chen, Iowa State Univ. (United States)


Published in SPIE Proceedings Vol. 2296:
Advanced Signal Processing: Algorithms, Architectures, and Implementations V
Franklin T. Luk, Editor(s)

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