A Fusion Algorithm of on-Line Weight Learning for Distributed Detection System

Xiang Li · Systems engineering and electronics · 2003

Based on the minimum false probability criterion,this paper studies a fusion algorithm of on-line weight learning for distributed signal detection system. The algorithm can automatically adjust the weights based on the change of the observation data in order to improve the performance of the system. Computer simulation results show that the algorithm can rapidly converge to the optimum results.

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