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Performance breakdown prediction for maximum-likelihood DoA estimation

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2 Author(s)
Abramovich, Y. ; Defence Sci. & Technol. Organ. (DSTO), Edinburgh, SA, Australia ; Johnson, B.

“Performance breakdown” of maximum-likelihood (ML) direction-of-arrival (DoA) estimation is analyzed. “Performance breakdown” occurs when signal-to-noise ratio (SNR) and/or training sample volume fall below some threshold values and a ML set of DoA estimates calculated for properly detected number of sources, unavoidably contains an estimation “outlier”. In this paper, we propose a technique to “predict” (i.e. identify, recognize) the underlying scenario and an ML set of DoA estimates, as potentially containing an outlier and specify these potential outliers.

Published in:

Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on

Date of Conference:

14-19 March 2010