基于轨道推算的弹道导弹多普勒速度估计算法

鉴于弹道导弹目标跟踪过程中出现的分离事件,使得目标密集度高、相互遮挡严重,雷达无法准确测量多普勒速度,导致距离测量精度降低,引发断批、错批等问题,提出了运用轨道推算的弹道导弹多普勒速度估计算法.该算法将目标距离量测中多普勒补偿去掉,采用基于轨道推算方法得到估计值后,再重新进行补偿输出.仿真结果表明,与改进的IMM-UKF滤波算法相比,该算法多普勒速度精度提高了86.50%,距离精度提高了93.37%,大幅度提高了目标跟踪精度.

Doppler velocity estimation algorithm for ballistic missile based on orbit extrapolation

Separation events occurring in the tracking process of ballistic missiles lead to highly dense targets and the serious mutual shielding.Consequently,radar can not accurately measure the Doppler velocity,resulting in the accuracy decrease of range measurement and also causing problems like broken batch,wrong batch,etc.In view of the above,this paper proposes a Doppler velocity estimation algorithm for ballistic missiles based on orbit extrapolation.In the algorithm,after removing the Doppler compensation from the target range measurement and obtaining the Doppler velocity estimation based on orbit extrapolation method,the compensation output is re-implemented.The simulation results show that compared with the improved IMM-UKF filtering algorithm,the Doppler velocity accuracy and range accuracy of the proposed algorithm are increased by 86.50%and 93.37%respectively,with the target tracking accuracy greatly improved.