基于模糊支持度的分布式多传感器加权融合算法

Distributed multi-sensor weighted fusion algorithm based on fuzzy support degree

针对目前分布式多传感器数据融合算法中鲁棒性和实时性问题，基于充分利用多传感器测量数据中互补和冗余信息的思想，通过局部状态估计精度间支持度函数的建立和支持度矩阵的求解，合理地分配各局部航迹估计在融合中心的权重，进而提出了一种基于模糊支持度的分布式多传感器加权融合算法。最后，通过蒙特卡罗仿真验证了该算法的有效性。

By analysis of the robust and real-time properties in the distributed presently muhi-sensor data fusion algorithms, a distributed multi-sensor weighted fusion algorithm based on fuzzy support degree is proposed. On the basis of the consideration of sufficiently making use of the information of redundancy and supplement with muhi-sensor measure data, this algorithm firstly defines a support degree function on the local state estimation precision and establishes support degree matrix, and it utilizes the solution of the matrix qua the weight coefficient of the local track estimation in the fusion center. Finallv. the Monte-Carlo simulation shows the efficiencv of this algorithm