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Robust multiple signal classification algorithm based on the myriad covariation matrix

Lookup NU author(s): Adel Hmidat, Professor Bayan Sharif, Dr Wai Lok Woo


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A robust version of the multiple signal classification (MUSIC) bearing estimation algorithm based on robust statistics is developed for a direct sequence-code division multiple access impulsive noise channel. The proposed subspace algorithm is computed by using the antenna array covariance matrix, which is derived from the robust maximum likelihood estimator of location. Each element of the robust covariance matrix is computed as the sample myriad of a window of the received observations. The MUSIC antenna array scheme is jointly used to mitigate the effects of multipath and impulsive noise. Simulation results demonstrate that the proposed scheme significantly outperforms the other linear and nonlinear schemes. © The Institution of Engineering and Technology 2006.

Publication metadata

Author(s): Hmidat AM, Sharif BS, Woo WL

Publication type: Article

Publication status: Published

Journal: IEE Proceedings - Vision, Image and Signal Processing

Year: 2006

Volume: 153

Issue: 5

Pages: 569-573

ISSN (print): 1350-245X

ISSN (electronic):

Publisher: The Institution of Engineering and Technology


DOI: 10.1049/ip-vis:20050046


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