针对声传感器单站单目标跟踪,提出了一种基于扩展卡尔曼滤波(EKF)的跟踪算法,将声波传输时延的影响转换到运动模型的可变周期上,通过参数在线估计的方法,估计该可变周期,进而解决了有信号时延的跟踪问题。通过把先验已知的速率当作观测值,解决了纯方位角跟踪时系统不完全可测的问题。仿真验证了算法的正确性和有效性。
Concerned with single station single target tracking problem,an EKF based acoustic sensor tracking algorithm is proposed in this paper.It transforms the influence of acoustic signal time-delay into the variable cycle of the motion model.The single target tracking problem with signal time delay is solved by an on-line parameter estimation method.Regarding the velocity of the target as a known observation,it resolves the bearings-only single target tracking problem on the condition of incomplete observation.The simulation results indicate that the proposed algorithm is correct and efficient.