Localization of multiple moving sources using recursive EM algorithm
Pei-Jung Chung, Johann F. Böhme · 2004
This work deals with maximum likelihood (ML) direction of ar-rival (DOA) estimation of multiple moving sources. Based on the recursive EM algorithm, we develop two recursive procedures to estimate the time-varying DOA parameter. The rst procedure re-quires no prior knowledge about the source movement. The second procedure assumes that the motion of moving sources is described by a linear polynomial model. The proposed recursion updates the polynomial coefcients when a new data arrives. The suggested approaches have two major advantages: simple implementation and easy extension to wideband signals. Numerical experiments show that both procedures provide excellent results in a slowly changing environment. When the DOA parameter changes fast or two source directions cross with each other, the procedure de-signed for a linear polynomial model has a better performance than the general procedure. 1.