Application of fast predictive bearing algorithm in 3D wideband signal tracking

摘要

Many conventional algorithms for direction-of-arrival (DOA) tracking suffer high computational complexity because of the eigendecomposition of the sample covari-ance matrix. In this paper, we propose a new DOA tracking algorithm that uses the Kalman filter, named the Fast Predictive Angle Tracking (FPAT) algorithm. Because the FPAT algorithm is based on a single snapshot, it requires low computational complexity and is able to track fast-moving targets. A weighting matrix which restrain 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 problem of data association. Combining the coherent signal-subspace (CSS) method, the narrowband FPAT algorithm is extended to track the DOA of wideband signals. We also extend the narrowband FPAT algorithm to track the range, azimuth, and elevation of narrowband sources in 3-D space.