Robust multiple signal classification algorithm based on the myriad covariation matrix

A. M. Hmidat*, B. S. Sharif, W. L. Woo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)569-573
Number of pages5
JournalIEE Proceedings: Vision, Image and Signal Processing
Volume153
Issue number5
DOIs
Publication statusPublished - Oct 2006

Fingerprint Dive into the research topics of 'Robust multiple signal classification algorithm based on the myriad covariation matrix'. Together they form a unique fingerprint.

Cite this