多传感器多目标跟踪算法研究

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1、4.4基于随机有限集的信息融合框架...........................................................................304.4.1有限集统计信息融合理论框架.....................................................................30 4.4.2专家系统的随机集理论框架..............................................................

2、...........304.5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 5.1随机有限集统计..............................................................

3、..........................................325.1.1信任度函数和密度函数.................................................................................32 5.1.2集合积分和集合微分.....................................................................................335.2多传感器多目标信息融合模型...

4、.............................................................................335.3多传感器目标跟踪随机有限集模型.......................................................................355.3.1状态空间和测量空间的随机集表示.............................................................35 5.3.2单传感器

5、单目标规范Bayes建模方法.........................................................36 5.3.3多传感器多目标Bayes建模方法.................................................................375.4PHD滤波器............................................................................................

6、...................375.4.1概率假设密度(PHD)......................................................................................37 5.4.2PHD滤波........................................................................................................385.5仿真过程..............

7、.....................................................................................................405.5.1目标的模拟.....................................................................................................405.5.2模型选择......................................

8、...................................................................405.5.3滤波算法.................................................................................