摘要
当目标做匀速直线运动时,实现对目标拦截所需的过载较小,此时对视线角的测量精度要求不高;当目标做蛇形(正弦)机动时,为了实现对目标的拦截,需要较大的过载,此时视线角的测量精度对脱靶量的影响很大。为了实现精确制导的要求,需要对视线角信息进行滤波,从而降低噪声的干扰。文中分别采用了α-β滤波和卡尔曼滤波算法实现对视线角信息的滤波,并与无滤波的情况进行了对比,结果表明在参数选择合适的情况下α-β滤波比卡尔曼滤波具有更好的降噪效果,但是在近距离内两者的滤波效果均变差,使得两者在减小脱靶量方面的效果几乎一致。
A small overload is required to intercept a target when it moves in a constant velocity,and the requirement of measuring accuracy is not high. When the target maneuvers sinusoidally,a high overload is required,and the measuring accuracy of line of sight（ LOS） angle has a great influence on the miss distance. In order to achieve the precise guidance requirements,filtering of LOS angle information is needed to reduce the measurement noise interference. This paper uses α-β filter and Kalman filter algorithms for LOS angle information filtering,and compares them with the situation with no filtering. It indicates that α-β filter has a better effect than Kalman filter under a preferred group of parameters,but the effect of both filters becomes worse in a close range. It makes the effect of both filters in reducing miss distance almost the same.
出处
《应用科技》
CAS
2015年第6期36-39,66,共5页
Applied Science and Technology
关键词
蛇形机动
视线角
噪声
Α-Β滤波
卡尔曼滤波
sinusoidal maneuver
line of sight angle
noise
α-β filter
Kalman filter
