针对BS EN 55035:2017第4.2.7节宽带脉冲传导骚扰测试中的高斯白噪声特殊波形要求,提出了基于matlab 滤波器构造函数产生高斯白噪声台阶,通过信号源的多载波合成功能对高斯白噪声台阶进行幅度调制,合成要求的高斯白噪声波形的方法。使用...针对BS EN 55035:2017第4.2.7节宽带脉冲传导骚扰测试中的高斯白噪声特殊波形要求,提出了基于matlab 滤波器构造函数产生高斯白噪声台阶,通过信号源的多载波合成功能对高斯白噪声台阶进行幅度调制,合成要求的高斯白噪声波形的方法。使用ARB toolbox composer调整高斯白噪声波形参数,可得到标准要求的周期脉冲信号。实测对比验证表明,高斯白噪声波形的实现方法正确。展开更多
As an advanced generation instrument of earth observation,small footprint full waveform light detection and ranging(LiDAR) technology has been widely used in the past few years.Decomposition and radiative correction i...As an advanced generation instrument of earth observation,small footprint full waveform light detection and ranging(LiDAR) technology has been widely used in the past few years.Decomposition and radiative correction is an important step in waveform data processing,it influences the accuracy of both information extraction and further applications.Based on a stepwise strategy,this study adopts Gaussian mixture model to approximate the LiDAR waveform.In addition to waveform decomposition,a relative correction model is proposed in this paper,the model considers the transmit pulses as well as the different of the travel path for implementing LiDAR waveform relative correction.Validation of the stepwise decomposition and relative correction model are carried out on LiDAR waveform acquired over Zhangye,China.The results indicate that stepwise decomposition identified the number of peaks in LiDAR waveforms,center position and width of each peak well.The relative radiometric correction also improves the similarity of waveforms which acquired at the same target.展开更多
基金supported by Major State Basic Research Development Program of China(Grant No.2007CB714406)National Key Technology R&D Program of China(Grant No.2008BAC34B03)
文摘As an advanced generation instrument of earth observation,small footprint full waveform light detection and ranging(LiDAR) technology has been widely used in the past few years.Decomposition and radiative correction is an important step in waveform data processing,it influences the accuracy of both information extraction and further applications.Based on a stepwise strategy,this study adopts Gaussian mixture model to approximate the LiDAR waveform.In addition to waveform decomposition,a relative correction model is proposed in this paper,the model considers the transmit pulses as well as the different of the travel path for implementing LiDAR waveform relative correction.Validation of the stepwise decomposition and relative correction model are carried out on LiDAR waveform acquired over Zhangye,China.The results indicate that stepwise decomposition identified the number of peaks in LiDAR waveforms,center position and width of each peak well.The relative radiometric correction also improves the similarity of waveforms which acquired at the same target.
