Direction-of-arrival estimation in unknown correlated noise using MUSIC and higher order statistics

Hsien-Sen Hung; Keshi Chen

doi:10.1117/12.190858

28 October 1994 Direction-of-arrival estimation in unknown correlated noise using MUSIC and higher order statistics

Hsien-Sen Hung, Keshi Chen

Proceedings Volume 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V; (1994) https://doi.org/10.1117/12.190858
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Hsien-Sen Hung and Keshi Chen "Direction-of-arrival estimation in unknown correlated noise using MUSIC and higher order statistics", Proc. SPIE 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V, (28 October 1994); https://doi.org/10.1117/12.190858

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