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In this paper, we consider a direction of arrival (DOA) tracking algorithm via adaptive parallel factor via recursive least squares tracking (PARAFAC-RLST) for acoustic vector-sensor array. The adaptive algorithm can efficiently track multiple targets by recursively updated the loading matrices at time t+1 from their values at time t, so that its global complexity is very lower than batch parallel factor (Batch-PAFARAC) without largely debasing angle estimation performance, as it does not require to compute the decomposition of 3rd-order tensor at time t+1 by a batch algorithm. PARAFAC-RLST algorithm is more suitable for multiple targets DOA tracking, especially when direction angle cross each other. Simulation results verify the usefulness of our algorithm for DOA tracking.

DOA Tracking Algorithm for Acoustic Vector-Sensor Array via Adaptive PARAFAC-RLST