Robustness of the coherently distributed MUSIC algorithm to the imperfect knowledge of the spatial distribution of the sources

Abstract : The MUltiple SIgnal Classification (MUSIC) estimator has been widely studied for a long time for its high resolution capabilities in the domain of the directional of arrival (DOA) estimation, with the sources assumed to be point. However, when the actual sources are spatially distributed with angular dispersion, the performance of the conventional MUSIC is degraded. This paper deals with the sensitivity of MUSIC to modeling error due to coherently distributed (CD) sources. A performance analysis of an extended MUSIC taking into account a generalized steering vector based on a CD source model (CD-MUSIC) is first studied. We establish closed-form expressions of the DOA estimation bias and mean square error due to both the model error and the effects of a finite number of snapshots. The aim of this paper is also to determine when the point source assumption is acceptable for standard MUSIC. The analytical results are validated by numerical simulations and discussed in different configurations.
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Submitted on : Thursday, March 30, 2017 - 5:59:21 PM
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Wenmeng Xiong, José Picheral, Sylvie Marcos. Robustness of the coherently distributed MUSIC algorithm to the imperfect knowledge of the spatial distribution of the sources. Signal, Image and Video Processing, Springer Verlag, 2017, 11 (4), pp.721-728. ⟨10.1007/s11760-016-1015-1⟩. ⟨hal-01498980⟩

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