Performance of the MMPF Algorithm for DOA Estimation under Sensor Failures

Assimakis K. Leros and Vassilios C. Moussas


state estimation, system identification , Kalman filtering, direction of arrival estimation


In this paper a recently proposed algorithm for the problem of estimating the direction of arrival angles of narrowband signals emitted from multiple sources is compared to two established ones, namely the conventional beamforming and MUSIC algorithms, through extensive simulation. The emphasis is in assessing the algorithms’ performance in adverse situations including availability of a small number of sensors due to sensor failures, and presence of several sources.

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