基于自适应采样速率交互式概率数据关联的机动目标跟踪算法

Maneuvering Target Tracking Algorithm Based on Adaptive Sampling Rate Interactive Multiple Model Probabilistic Data Association

在交互式多模型和概率数据关联算法融合的基础上,又将自适应采样速率算法融合到交互式多模型概率数据关联滤波器中,提出了自适应采样速率交互式概率数据关联算法,该算法不但能有效地跟踪高速机动的目标,且能使系统的采样间隔根据目标的运动状态做自适应调整.仿真结果表明该算法扩大了机动目标的跟踪范围,且对高速机动的目标有很好的跟踪效果和较强的跟踪精度.

Based on the fusion of the combination multiple model（IMM） and the probabilistic data association （PDA） algorithm, the paper fuses IMM--PDA with the ,adaptive sampling rate algorithm, and then presents the adaptive sampling rate interactive multiple model probabilistic data association （AIMMPDA） algorithm, which has good performance to track high maneuvering target. The algorithm can also get the system＇s sampling interval changed according to the target＇s movement state. The simulation results show that the proposed algorithm can effectively track maneuvering target with much better performance, and the tracking extension is spread by the fused algorithm.