为了获得末敏弹红外/毫米波敏感器探测信号真实波形特征,提高目标识别率,针对高塔抛弹实验所获数据,结合红外/毫米波复合探测原理及信号特征,采用小波分析法,选取合适的小波函数、分解尺度以及阀值完成了去噪工作,得到了较为真实的探测信号波形。处理结果表明小波去噪可以很好的对末敏弹复合敏感器原始探测信号进行平滑处理,去噪后的真实波形特征可以为末敏弹目标识别模板提供数据依据。

In order to gain the true wave form of signals detected by IR/MMW sensors of terminal sensitive projectile(TSP), enhance the recognition rate, in view of the experimental data obtained by tower cast experiment, combined with IR/MMW's detection principle and signal feature, suitable wavelet function, decomposition scale and threshold value were chosen for de-noising work, true wave form was got. The results show that wavelet denoising method can be better used for smoothing signals gained by IR/MMW sensors of TSP, and the de-noise signals can be referred for target identification template of TSP.