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作 者:付苗苗 刘娜 FU Miaomiao;LIU Na(Department of Mechanical and Electrical Engineering,Cangzhou normal University,Cangzhou Hebei 061001,China)
机构地区:[1]沧州师范学院机械与电气工程学院,河北沧州061000
出 处:《激光杂志》2023年第10期194-199,共6页Laser Journal
基 金:河北省三三三人才工程资助项目(No.A202001101)。
摘 要:为了解决激光雷达回波信号弱、干扰强问题,提出激光雷达信号检测系统的最佳匹配滤波方法。通过二进小波变换与模极大值分解激光雷达信号检测系统采集回波信号,获取小波系数,保留回波信号特征的同时增加信号输出信噪比,采用匹配滤波处理所获得的小波系数,并经阈值处理后获取小波系数值估计值,利用小波重构估计值得出噪声滤除后信号。实验结果表明:该方法滤波处理后的信号波形均匀、波动幅度小,在不同的尺度因子下,本方法的噪声滤除结果均在80%以上,在固定的尺度因子和噪声输入时,本方法的噪声滤除了82%,检测精度为97.4%,耗时为10.34 ms,均优于其他方法。In order to solve the problem of weak echo signal and strong interference of lidar,the best matched filtering method of lidar signal detection system is proposed.The lidar signal detection system collects echo signals through dyadic wavelet transform and modulus maximum decomposition,obtains wavelet coefficients,retains the characteristics of echo signals and increases the signal-to-noise ratio of signal output,The wavelet coefficients obtained by matched filtering are processed,and the estimated values of wavelet coefficients are obtained after threshold processing.The noise filtered signal is obtained by using the estimated values of wavelet reconstruction.The experimental results show that the filtered signal waveform is uniform and the fluctuation amplitude is small.Under different scale factors,the noise filtering results of this method are more than 80%.When the scale factor and noise input are fixed,the noise filtering of this method is 82%,the detection accuracy is 97.4%,and the time-consuming is 10.34 ms,which is superior to other methods.
关 键 词:激光雷达 信号检测系统 二进小波变换 模极大值 平移不变性 匹配滤波方法
分 类 号:TN956[电子电信—信号与信息处理]
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