小波分析在末敏弹探测信号处理中的应用
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摘要
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 denoise signals can be referred for target identification template of TSP.
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 denoise signals can be referred for target identification template of TSP.
引文
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[3]杨莘元,查品德,王鑫.改进小波阀值法在MMW雷达回波去噪中的应用[J].弹箭与制导学报,2005,25(2):598-600.
[4]栾英宏,李跃华,罗磊.基于稀疏分解的毫米波辐射计信号去噪[J].制导与引信,2009,30(1):38-41.
[5]罗磊,李跃华,栾英宏.基于提升9-7小波的毫米波探测器信号实时去噪[J].电光与控制,2010,17(2):74-77.
[6]范庆辉,李兴国,张光锋.阀值法在毫米波目标辐射信号去噪中的应用研究[J].电子与信息报,2008,30(10):2356-2359.
[7]张德丰.MATLAB小波分析[M].北京:机械工业出版社,2009.
[8]李平,李卫国,王志国.小波去噪理论及MATLAB实现研究[J].现代商贸工业,2008(9):399-400.
[9]凌好.无伞末敏弹姿态测量处理系统的研究及实现[D].南京:南京理工大学,2011.