【摘要】 针对多传感器观测环境下带乘性噪声系统的逆向最优滤波与反褶积融合估计问题 ,本文提出了 1种基于极大似然准则的最优融合算法。该算法中各单传感器间并行计算 ,并且融合中心与单传感器处理中心间无反向通讯 ,因而执行效率较高。仿真表明 ,该融合算法产生的逆向滤波与反褶积比单传感器处理结果有较明显提高更多还原

【Abstract】 To the fusion problem of backward filtering and deconvolution of stochastic systems with multiplicative noise and observed by multisensor, an optimal fusion algorithm is provided. The optimum of this algorithm is based on maximum likelihood sense. The algorithm is used in a parallel way among each sensor and there is no backward communication from the fusion center to the processing center of single sensor. So it has a better efficiency of computation. Simulation shows that the backward filtering and deconvolution computed by this fusion algorithm have an obvious improvement to those resulted from single sensor’s processing.更多还原