Distrbuted Adaptive Estimation for Tracking a Maneuvering Target in Clutter
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Abstract:
The problem of tracking a maneuvering target in a cluttered environment by multuple radars is considered. This paper presents a distributed fusion algorithm. The local nodes transmit their estimation results to the fusion node, where the local estimation results are combined to obtain global estimation. The Monto-Carlo simulation shows that the distributed fusion algorithm performs much better than the local estimation algorithm in every function index and achieves the expected effect.
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Gao Jianjun, Cui Taorui, Zhou Hongren, Gui Xianzhou. Distrbuted Adaptive Estimation for Tracking a Maneuvering Target in Clutter[J]. Journal of National University of Defense Technology,1998,20(2):39-43.