多普勒引信目标信号极值识别算法

Target Signal Extremum Recognition Algorithm on Doppler Fuze

针对由模拟器件组成的多普勒引信信息处理电路存在抗尖峰脉冲干扰能力差的问题,提出了目标信号极值识别算法,并分别给出了无干扰和有干扰两种目标信号算法.该方法采用每个点依次与前面多点平均值和各点数值比较的方法确定信号幅值,并同时得到信号频率,可以有效提高程序效率.试验结果表明,采用目标信号极值识别算法能够完全去掉多普勒信号中的尖峰脉冲干扰部分,有效提高多普勒引信的抗干扰能力,对现代引信数字化改造和提高抗干扰能力具有参考意义.

According to the problems of the poor resistance to interference spike pulse arising from Doppler fuze information processing circuit which was composed of the analog devices, the target signal extreme recognition algorithm and there were two kinds of target signal algorithm, no interference and interference. In the method, each point was compared with the average of the points in the front, and signal amplitude and signal frequency was got. In this way, the efficiency was improved. The test results show that the target signal extreme recognition algorithm can completely remove the spike pulse interference part in the Doppler signal, and the method improves the anti-interference ability of Doppler fuze and it has significant reference in the modern fuze digital transformation and improvement of the anti-interference ability.