摘要
针对采用非线性较强的观测角、角度变化率、脉冲到达时间差等参数的单站无源定位跟踪系统,提出了一种新的跟踪滤波算法IMM-Jerk。该方法用Jerk模型对做复杂机动的运动目标建模,采用经过UKF滤波改进的交互多模(IMM)算法对目标实现跟踪滤波。该算法可适用于对做多种机动运动的目标的跟踪,提高了目标跟踪收敛精度和跟踪系统的稳定性。仿真试验证明了该方法的可行性和有效性,并具有较高的应用价值。最后,对IMM-Jerk算法的研究方向进行了讨论。
A new tracking filter is proposed for the highly non-linear single observer passive location and tracking(SOPLAT) system based on the observation of bearing,bearing rate and difference time of arrival of emitter.The new method used the Jerk model for the maneuvering target,and then used the IMM algorithm basing UKF to keep the tracking of the emitter.By using this method,the precision of the tracking filter can be improved,and it is also good to the filter's stability.The simulations proved the feasibility and availability of the new method.At last,further research directions of the IMM-Jerk were discussed.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2007年第4期82-86,共5页
Journal of National University of Defense Technology
基金
国家部委基金项目(51421030505KG0172)