有色噪声条件下的目标被动定位算法研究

Research on Passive Location Algorithm for Colored Measurement Noise

关于研究反辐射武器目标准确被动定位问题,针对只测角(Bearing only)体制的反辐射导引头测量信号中含有有色噪声会引起定位不准确。为解决上述问题,提出了一种采用观测方程重构思想的适合有色噪声条件下的被动定位滤波算法,并采用三维空间弹道数据开展了上述方法与常规推广卡尔曼滤波(Extended Kalman Filter,EKF)的被动定位精度对比仿真。仿真结果表明,改进方法在有色噪声条件下的被动定位精度明显高于常规EKF,由于并未扩增状态变量维数,计算量没有明显增加,易于实现。

According to the anti-radiation weapon passive target location problem, in which the seeker measurements contains colored noise, causing poor location performance, this paper presented an passive location algorithm with colored bearing-only measurements. Section 1 briefs the conventional mathematical model for anti-radiation weapon passive location method using Bearing only mechanism. Section 2 and 3 presents the conventional Extended Kalman Filter（EKF） and the colored measurement noise EKF algorithm based on measurement equation reconstruc- tion technique respectively. The simulation results based on three-dimentional trajectory data, were given in Fig. 3, 4, 5 and Table 1, and their analysis show preliminarily that the colored noise filter has much more location accuracy than conventional EKF, and the amount of calculation of the algorithm presented in this paper is equal to conventional EKF, has the same feasibility.