高射速火炮连发弹丸回波的降噪方法研究

The Research of Noise Reduction about the Series Projectile Echo of High Rate of Fire Artillery

由于高射速火炮弹丸连发时会在炮口产生持续的火光,使得红外传感器容易造成误判和漏判,其他现有的弹丸出膛时刻获取方法也均已失效。针对此问题,文中通过对回波信号进行短时傅里叶分析,根据信号的短时谱图,提出了最小统计噪声估计降噪算法,可以有效降低炮口连续的火焰噪声,并通过对实测信号处理验证了算法的正确性和可行性,为高射速连发弹丸出膛时刻参数的提取和初速的测量工程实现奠定基础。

Due to the continued firelight near the muzzle produced by the continuous occurrence of the high rate of fire artillery projectile, the misjudgment and the missing are easily produced by the infrared sensor. The other traditional vibration sensor methods have lost their influences on this problem. For this problem,the minimum statistical noise estimation algorithm based on the echo＇s short time Fourier translation analysis and short-time spectrum is proposed in this paper by the analysis of the echo signal. The noise of continuous muzzle flame is effectively reduced by the algorithm. It is verified correct and feasible by the processing of the measured signal. It lays the foundation for the measure of the muzzle-leaving time and the engineering realization of muzzle velovity measurement.