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考虑目标机动量、目标机动时间常数和目标测量噪声全参数变化,对雷达导引头跟踪和制导信息提取进行了自适应滤波算法的研究。提出了两种算法,即“修正的均值与方差自适应卡尔曼滤波算法”和“最优自校正滤波算法”,将二者进行了比较并选用前者进行全导弹系统数字仿真。仿真结果表明,算法具有良好的跟踪效果和制导精度。
Considering the changes of the target maneuvering speed, the target maneuvering time constant and the target measurement noise, the adaptive filter algorithm is studied for radar seeker tracking and guidance information extraction. Two algorithms are proposed, that is, Modified Mean and Variance Adaptive Kalman Filter Algorithm and Optimal Self-Calibration Filter Algorithm. The two are compared and the former is selected for digital simulation of the whole missile system. Simulation results show that the algorithm has good tracking performance and guidance accuracy.