基于位置量变化率的蛇形机动弹道识别

摘要

为提高高炮武器系统对空袭兵器的拦截防御能力,针对现有蛇形机动识别算法不便使用的现状,提出了基于位置量变化率的蛇形机动模式识别及幅度估计算法.它利用目标航迹中的特征点,对航迹进行区间分段,然后对各区间内的位置量变化率进行匹配,识别目标的运动模式,进而利用极值点估计其机动幅度.仿真结果表明:该算法的模式识别率可达到97.4％,幅度估计值与真值的相对误差均值为3.85％,是有效的.%In order to improve the interception ability of anti-aircraft gun system against air strike weapon,aiming at the shortages of the existing algorithm for pattern recognition of zigzag maneuver,an algorithm of pattem recognition and range estimation for zigzag maneuver based on position slope was proposed in this paper.This method comparted target's trajectory by the characteristic points,and then the position slope of each section was matched to recognise the movement pattern,moreover,its range was estimated by extremum point.Simulation results showed that the pattern recognition ratio was 97.4％,comparative error between the calculating result and true value was 3.85％.