基于N-P准则的权值在线学习的分布式检测算法

Distributed detection algorithm of on-line weight learning based on N-P rule

研究了一种基于N-P准则的权值在线学习的分布式检测系统的融合算法。该算法能够根据观测数据的变化,自动在线调整权值大小,逐步改善系统的检测性能。计算机仿真结果表明,该方法能够较快地收敛到最优解。

Based on the N-P rule, a fusion algorithm of on-line weight learning for distributed signaldetection system is presented. 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.