摘要
针对机动辐射源的单站被动跟踪问题,结合中心差分滤波(central difference filter)方法,该文提出了一种基于中心差分的交互多模型(IMM)机动目标跟踪算法,无需计算基于EKF(Extended Kalman Filter)方法所需的Jacobian矩阵,易于实现。将传统IMM算法中协方差的传递改造为平方根滤波形式,数值稳定性更好。将该算法应用到联合利用径向加速度和角度信息的单站定位系统,与基于EKF的IMM算法和基于UT(Unscented Transformation)的IMM算法仿真比较表明,该文算法和基于UT的IMM算法性能相当,比基于EKF的算法具有更高的跟踪精度。
To tackle the problem of tracking a maneuvering emitter by a single passive observer, an algorithm of combining the Central Difference Filter（CDF） and Interacting Multiple-Model（IMM） method is proposed. The proposed algorithm is easy to implement due to no request of calculating the Jacobian matrix, and more numerical stable by rebuilding traditional IMM algorithm into square root form. The proposed algorithm is applied to single observer passive location by using radial acceleration and angle information. Computer simulation results show that the presented method has similar performance to UT based IMM, and better performance than EKF based IMM in tracking accuracy.
出处
《电子与信息学报》
EI
CSCD
北大核心
2008年第12期2871-2875,共5页
Journal of Electronics & Information Technology
关键词
机动跟踪
无源定位
交互多模型
中心差分
平方根滤波
Maneuvering tracking
Passive location
Interacting multiple model
Central difference Kalman filter
Square root filter
