目标机动未知下的有源声呐跟踪滤波方法

A tracking filter method of active sonar subject to unknown target maneuvering

为解决由有源声呐测量误差而引入的目标机动判决模糊问题,提出了基于延迟机动检测的跟踪滤波算法。利用多假设跟踪方法,在目标机动检测模糊时,生成匀速及机动的两种目标运动假设以延迟最终的决策时间,基于残差序列构造假设检验统计量,实施序列似然比检验并融合强跟踪滤波器和Kalman滤波器的优点,提高了有源声呐对先验信息未知目标的跟踪能力。通过仿真分析表明,该算法不仅能够精确的跟踪匀速运动目标,而且能够稳定的跟踪机动目标。海试数据处理进一步验证了算法跟踪真实水声目标的有效性。

A tracking filter algorithm based on the maneuvering detection delay is presented in order to solve the fuzzy problem of target maneuver decision introduced by measurement error of active sonar. When the maneuvering detection is unclear, two target moving hypothesis of uniform and maneuver form the method of multiple hypothesis tracking is generated to delay the final decision time. Then construct hypothesis test statistics based on residual sequence. With the sequential probability ratio test, the algorithm improved the active sonar＇s tracking ability of unknown prior information target and integrated the advantages of strong tracking filter and Kalman filter. Simulations show that the algorithm can not only track the uniform targets accurately, but also track the maneuvering target steadily. Sea trial data processing result further verifies the effectiveness of the algorithm for real underwater acoustic target.