跟踪反舰导弹的机动频率自适应算法

A Maneuvering Frequency Adaptive Algorithm for Tracking Anti-ship Missile

为使建立的系统方程更适合强机动反舰导弹的真实运动状态,在分析"当前"统计模型及自适应滤波算法的基础上,通过由滤波残差的变化来检测目标机动与否的准则,设计了一种非线性的机动频率函数,实现机动频率自适应调整,优化了"当前"统计模型的系统参数,构建了机动频率自适应算法。在想定的初始条件下,结合反舰导弹的末段"蛇行机动",对建立的机动频率自适应算法进行MonteCarlo仿真实验,结果表明:该算法运行稳定,适应能力强,能有效提高"当前"统计模型的跟踪性能。

Based on analysing ＂current＂ statistical model and its adaptive algorithm, a maneuvering frequency adaptive algorithm for tracking Anti - ship missile is established. Under the given initial conditions, the paper carries out Monte Carlo simulation experiments for maneuverable anti - ship missile. The simulation results show that the maneuvering frequency adaptive algorithm with better adaptability can improve the tracking performance of ＂current＂ statistical model effectively.