文档介绍：基于随机有限集的信息融合框架...........................................................................30
有限集统计信息融合理论框架.....................................................................30
专家系统的随机集理论框架.........................................................................30
本章小结...................................................................................................................31
第五章基于随机集的多传感器多目标跟踪算法............................... 32
随机有限集统计........................................................................................................32
信任度函数和密度函数.................................................................................32
集合积分和集合微分.....................................................................................33
多传感器多目标信息融合模型................................................................................33
多传感器目标跟踪随机有限集模型.......................................................................35
状态空间和测量空间的随机集表示.............................................................35
单传感器单目标规范 Bayes 建模方法.........................................................36
多传感器多目标 Bayes 建模方法.................................................................37
PHD 滤波器...............................................................................................................37
概率假设密度(PHD) ......................................................................................37
PHD 滤波........................................................................................................38
仿真过程...................................................................................................................40
目标的模拟.....................................................................................................40
模型选择.........................................................................................................40
滤波算法....................................................