Application Of Fast Predictive Bearing Algorithm In 3D Wideband Signal Tracking
Price
Free (open access)
Transaction
Volume
69
Pages
10
Published
2003
Size
384.79 kb
Paper DOI
10.2495/AC030281
Copyright
WIT Press
Author(s)
S.-Y. Hou, S.-H. Chang & H.-S. Hung
Abstract
Application of fast predictive bearing algorithm in 3D wideband signal tracking S.-Y. HOU', S.-H. changl & H.-S. ~ u n g ' 1 Department of Electrical Engineering National Taiwan Ocean University, Keelung, Taiwan, R. 0. C. Abstract Many conventional algorithms for direction-of-arrival (DOA) tracking suffer high computational complexity because of the eigendecomposition of the sample covariance 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
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