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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History
  • Received:November 03,1997
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  • Online: January 03,2014
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