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拟线性最优平滑滤波在一维弹道修正弹中的应用

         

摘要

To form the instruction which controls the one dimensional trajectory correction shell, and to improve the combat precision, Pseudo linear optimal smooth filtering is used to filter a section of flight parameter detected by radars, radar' s measured yawp is filtered, then ballistic trajectory point of fall is extrapolated, and the comparison between trajectories is followed. The simulation comes to a conclusion that the measured flight parameter yawps which are random or have bigger values can be rapidly reduced by using pseudo linear optimal smooth filtering, even in the case of incorrect initial filtering parameters, this algorithm can still keep up with the parameters of flight state without delay. Compared with normal extended Kalman filtering, this algorithm has a better stability and as-tringency. So this algorithm can be applied in the one dimensional trajectory correction shell, even more reliable.%为一维弹道修正弹控制指令的形成,打击精度的提高,采用拟线性最优平滑滤波算法对雷达测量的一段飞行参数进行滤波.滤除雷达的量测噪声,然后再外推弹道落点,比较计算弹道偏差.通过仿真表明,拟线性最优平滑滤波算法可较快的减小具有较大幅值和随机性的量测飞行参数噪声.即使在不正确的滤波初始值情况下,该算法仍能较快的跟上飞行状态量,较普通推广卡尔曼滤波有更好的稳定性和收敛性,说明该算法应用于一维弹道修正弹是可行的,且可靠性更高.

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