基于自适应提升方案的回波信号消噪算法研究  

Echo Denoising Arithmetic Based on Adaptive Lifting Wavelet Scheme

作　　者：夏平[1] 刘馨琼[1] 向学军[2] 万钧力[2] 

机构地区：[1]三峡大学智能视觉与图像信息研究所,湖北宜昌443002 [2]三峡大学电气信息学院,湖北宜昌443002

出　　处：《微电子学与计算机》2008年第7期201-204,共4页Microelectronics & Computer

基　　金：湖北省教育厅自然科研基金项目(D200513001)

摘　　要：采用自适应提升小波方案,根据激光探测系统接收的回波信号特征,提出了一种更新滤波器和预测滤波器的设计方案,从而实现了自适应地调整预测和更新算子,增强了与处理信息的匹配,有效地提高了系统输出回波信号的峰值信噪比.其次,利用激光探测系统中检测的回波信号与噪声特点,给出了一种去噪软阈值的选取方案.将此算法应用于激光探测系统消噪,较好地满足了在强背景噪声下检测微弱信号的要求.仿真结果表明,采用该算法实现的激光探测系统去噪,在抑制噪声的同时较有效地保留信号的细节,重构了清晰的回波信号.According to echo signal characteristic of the laser exploration system, the paper adopts the adaptive lifting wavelet transform algorithm and brings forward a update filter and predictor filter design, which implements adjusted adaptively predict and update operator and strengthens the mutuality of the processing information and enhances the accuracy of systemic detective echo signal. Furthermore, by using the characteristic of the detected echo signal and noise in the laser exploration system, the paper also addresses a kind of denoising threshold selection idea, which can be applied in this laser exploration system and preferably adapts the requirements of detecting weak signal under the high noise background. The experimental result shows that the algorithm restrains the noise whilst effectually reserves signal details due to achieving denoise of the laser detection system, which has better effect.

关 键 词：激光探测系统 自适应提升方案 去噪 软阈值 回波 

分 类 号：TN911[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]