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Enhanced Capon beamformer using regularized covariance matching | IEEE Conference Publication | IEEE Xplore
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Enhanced Capon beamformer using regularized covariance matching


Abstract:

The Capon method is a powerful nonparametric approach in array processing based on the sample covariance matrix. For small sample sets, however, its performance is degrad...Show More

Abstract:

The Capon method is a powerful nonparametric approach in array processing based on the sample covariance matrix. For small sample sets, however, its performance is degraded. In this paper we formulate a regularized covariance matching framework based on the nuclear norm for enhancing the Capon method. An approximate iterative solution is developed and tested using simulated data. Appropriate regularization parameter values are also inferred from the data, drawing upon the cross-validation approach. The results show significantly improved spatial spectral and signal waveform estimates.
Date of Conference: 15-18 December 2013
Date Added to IEEE Xplore: 20 January 2014
ISBN Information:
Conference Location: St. Martin, France

References

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