基于改进小波阈值函数的雷达信号去噪  

Radar Signal Denoising Based on Improved Wavelet Thresholding Functions

作　　者：赵松[1] 江汉红[1] 张朝亮[1] 柯泽贤[1] 

机构地区：[1]海军工程大学电气与信息工程学院,武汉430033

出　　处：《兵工自动化》2011年第7期1-3,共3页Ordnance Industry Automation

基　　金：湖北省自然科学基金(2010CDB01503)

摘　　要：为去除雷达信号混杂的高斯白噪声,对小波阈值去噪法进行研究。通过分析软硬阈值函数和几种改进阈值函数的特点,提出了改进连续阈值函数和折衷阈值函数,并选取优化阈值进行去噪仿真。仿真结果表明:新阈值函数连续性好、便于调节,克服了硬阈值法不连续和软阈值法具有偏差的缺点。方法2效果最佳,有效提高了输出信噪比,对于雷达信号处理具有一定的应用价值。In order to discard the Gaussian white noise mixed in radar signal,researched conventional wavelet threshold denoising method.By anlysing the character of soft and hard thresholding functions and some improved thresholding functions,introduces two optimized functions： improved continuous thresholding function and eclectic thresholding function.It also makes a simulation with optimized threshold.The simulation results show that the new thresholding functions above are continuous and easy to adjust,which overcome the shortcomings of the incontinuous hard thresholding function and the soft thresholding function with unvarying warp.The second method performs better,which enhances the signal-to-noise of output signal effectually.The work has an important applied value for radar signal processing.

关 键 词：小波变换 阈值函数 雷达信号 

分 类 号：TN957.54[电子电信—信号与信息处理]