小波阈值去噪在导引头信号处理中的应用

Application of Wavelet Threshold De-noising to Seeker Signal Processing

为从杂波和干扰背景中有效地提取出目标的特征信号,介绍了一种在小波阈值去噪基础上对阈值函数进行改进的方法,以达到滤除噪声的目的。该阈值函数克服了硬阈值函数值不连续的问题和软阈值函数存在恒定偏差的问题,同时新函数不需要进行参数选择。仿真实验结果表明,这种方法在有效消除高频随机信号和特定尺度噪声的同时又能很好地保留原有的有用信号,较其他阈值函数具有明显的优越性。

For effectively detecting the characteristic signals of targets from the mixed-wave and the clutter, a method of threshold functional improvement which based on wavelet threshold de-noising was introduced to filter noise. This threshold function has not only overcome incontinuous disadvantage of the hard threshold function, but also solved constant deviation which exists in the soft threshold function, meanwhile the new function needn＇t selecting parameters. The simulation experiment shows that this method can effectively eliminate high-frequency random noise, particular scale noise and can retain valid signal, which is superior to other threshold functions.