基于伪线性卡尔曼滤波的多站IRST系统跟踪技术

PSEUDO-LINEAR KALMAN FILTER WITH APPLICATION TO THE PASSIVE TRACKING OF MULTI-STATIONS IRSTS

建立了目标的多站IRST(红外搜索与跟踪)系统的伪线性观测模型,基于该模型提出了匀速运动目标的伪线性卡尔曼滤波算法.算法利用伪线性方程组获得滤波器的初值,从而提高了滤波器的跟踪精度和速度.分别采用伪线性卡尔曼滤波器与推广卡尔曼滤波器对目标进行跟踪的仿真结果表明:当探测器数目为3、4时,在跟踪初始阶段,伪线性卡尔曼滤波器在跟踪的速度和精度方面均优于推广卡尔曼滤波器,在稳定阶段,两者的性能基本相仿.当探测器数目为6时,则不论是在跟踪的初始阶段,还是在稳定阶段,伪线性卡尔曼滤波器与推广卡尔曼滤波器的性能基本相同.

A PLKF （pseudo-linear Kalman filter） was presented for tracking a moving target by using multi-stations of IRST systems. The initial value of the filter was attained from the pseudo-linear equations, which improves the tracking accuracy and speed of the filter. Results of the simulation of tracking a moving target by PLKF and EKF（extended Kalman filter） illustrate ： for 3 or 4 statio0s, the tracking aeeuracy of PLKF is more advantage than that of EKF at the beginning of the tracking： for 6 stations, the PLKF and the EKF have the same tracking accuracy.