摘要
针对标准卡尔曼滤波在滤波数学模型与实际过程的数学规律不匹配,滤波特性较差的情况,提出了一种改进型的自适应卡尔曼滤波方法,并将其应用到目标跟踪中。仿真结果表明,与标准的卡尔曼滤波相比,其跟踪精度有了较大提高。
The filtering characteristic is in a poor way while mathematics model of the traditional Kalman filtering does not match to mathematics regulation in actual process. An improved adaptive Kalman filtering algorithm is proposed and applied to target tracking. Simulation results show that the tracking precision of the improved adaptive Kalman filtering algorithm is much higher than that of the traditional Kalman filtering algorithm.
出处
《航空兵器》
2008年第5期30-33,37,共5页
Aero Weaponry
关键词
自适应滤波
目标跟踪
算法
adaptive filtering
target tracking
algorithm
