摘要
在快速卡尔曼滤波跟踪算法的基础上,提出了一种机动目标位置和速度的高精度卡尔曼滤波算法,用于仅提供距离和测量的多站雷达系统对机动目标的高精度定位和高精度测速。多站雷达系统提供给数据处理中心的距离和信息,通过滤波迭代算法估算出目标的位置和速度。对机动目标的仿真实验结果表明,该算法不仅改善了以前文献中目标位置的定位精度,而且对目标速度也同样具有优良的测量性能。
Based on a reported fast Kalman filtering algorithm, a high-precision Kalman filtering algorithm of netted radar system is presented for precisely locating a maneuvering target and measuring its velocity. The target's exact radial distance sum in the data processing unit is sent to the Kalman filter. By using the extended Kalman filter's iterative method, both the position and the velocity of the maneuvering target can be accurately evaluated. Computer simulation results show that the algorithm can greatly improve the location precision compared with the reported algorithm. Meanwhile, it can also track the target's velocity with excellent performance.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2004年第1期14-17,共4页
Systems Engineering and Electronics
关键词
卡尔曼滤波
机动目标
误差补偿
目标跟踪
多站雷达系统
kalman filtering
maneuvering target
error compensation
target tracking
netted radar system
