激光高度计接收脉冲回波信号分析器

激光高度计接收脉冲回波是叠加有噪声的多重非高斯波形，有效提取非高斯波形的统计参量对于反演目标高度和种类信息是十分关键的。基于接收脉冲回波信号的特点，利用广义高斯函数模型完成接收脉冲回波信号的数学建模。通过对接收脉冲回波的平滑滤波和初始参数获取，并采用非线性最小二乘算法，开发了一种提取接收脉冲回波统计参量的波形分析器。利用波形分析器对仿真的回波波形进行了处理，结果表明，对于15 dB的单个广义高斯波形，其统计参量的最大提取误差不超过1%。随着广义高斯分量个数的增加以及回波信噪比的降低，统计参量的提取误差有所增加。利用波形分析器能够有效地提取回波波形的统计参量，为反演目标信息提供数据依据。

Analyzer on received waveforms of laser altimeter

The received waveforms of laser altimeter were composed of multiple non-Gaussian waveforms appended with noise.It was absolutely crucial for retrieving the height and category of target by extracting the statistical parameters of non-Gaussian waveforms.Based on the feature of received pulse signal,its mathematics model was described with generalized Gaussian function.Using the method of smoothing filtering and calculating initial parameters on received waveforms,and the non-linear least squares algorithm,an analyzer with extracting the statistical parameters for received waveforms was developed.In terms of the analyzer,simulated waveforms processing and statistical parameters extraction were performed well.The analyzed results show that the maximal extraction error for statistical parameters is less than 1% for the single generalized Gaussian waveforms with 15 dB signal to noise ratio(SNR).Meanwhile,with the increase of the number of generalized Gaussian components and the decrease of SNR,extraction error for statistical parameters becomes larger.The statistical parameters can be extracted effectively with waveforms analyzer,which provides data gist for retrieving the target information.