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

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.