多传感器多目标联合概率数据关联研究

Research of the joint probabilistic data association algorithm for multisensor-multitarget tracking

提出改进联合概率数据关联算法对多传感器、多目标量测进行同源划分及单一传感器测量数据转换,并采用联合概率数据关联算法求解空间目标轨迹交叉时的数据关联。仿真结果表明,改进联合概率数据关联算法提高了成功关联概率,降低了求解数据关联概率的难度,可以解决密集目标的正确跟踪问题。

The amend joint probabilistic data association algorithm for muhisensor-muhitarget tracking was proposed. The same source observations were classified into the same set. Then the JPDA algorithm was treated as a combination problem of optimization. The simulation results show that the amend joint probability algorithm can increase the success rate of data association, and reduce calculation complexity. This algorithm can make the sensor track densely distributed targets correctly.