Abstract:In this paper, we propose a new narrowband bearing tracking algorithm, named Predictive Angle Tracking (PAT) algorithm, that uses the Kalman filter. Firstly, the basic theory of the narrowband signal incorporating the spatial smoothing method to overcome the multipath interference is presented, a weighting matrix which restrains the angle variation is used to overcome DOA misjudgement caused by abnormally large angular variation when the targets are at or nearby the crossing points. It also applies the prediction characteristic of Kalman filter to prevent the data association problem. Combined with the coherent signal-subspace (CSS) method, the narrowband PAT algorithm is extended to track the DOAs of wideband signals. Through computer simulations, the effectiveness of each proposed algorithm is verified.