Performance Analysis of an Adaptive Algorithm for DOA Estimation

This paper presents an adaptive approach to the problem of estimating the direction of arrival angles of narrowband signals emitted from multiple sources. We reformulate the problem in state-space, and employ a multi-model partitioning algorithm, combined with extended Kalman filters, for combined identification of the number of sources and estimation of the angles of arrival. The proposed algorithm’s performance is assessed by simulation in several operational scenaria. The results presented demonstrate that the algorithm is capable of tracking changes in the angles of arrival, and of detecting variations in the number of sources present.