摘要
针对当前统计模型跟踪机动目标算法存在误差较大问题,采用加速度方差与机动频率自适应技术,能够实现对任意机动情况下的目标精确跟踪。经计算机仿真,比较了加速度方差与机动频率自适应方法的跟踪性能,表明改进算法具有更好的适应性。
In terms of the serious error problem of the maneuvering target tracking algorithm based on the current statistical model,the methods of adopting the technologies of the acceleration variance and the adaptive maneuvering frequency to realize the accurate target tracking under any maneuverable circumstances are proposed.The tracking performances of the two methods are compared with those of the conventional method through the computer simulation,which indicate that the improved algorithms are of better adaptability.
出处
《雷达与对抗》
2012年第1期24-27,共4页
Radar & ECM
关键词
目标跟踪
当前统计模型
机动频率
加速度方差
卡尔曼滤波
target tracking
current statistical model
maneuvering frequency
acceleration variance
Kalman filtering
