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Usually, lidar detection systems are optimized for the measurement of the low intensity signal using the photon counting technique, but this approach results in the nonlinear signal response for the higher intensity signal. The problem is successfully solved by the combination of analog-to-digital (AD) and photon- counting (PC) detection. The optimized processing procedure of the signal combination of AD and PC is described, and the corrected result is analyzed and compared with the results by the dealt-time correction method. In this way, the accuracy of wind and aerosol measurement in the nonlinear range is improved. In addition, the signal-to-noise ratios (SNRs) of the two detection methods of AD and PC are compared in the overall dynamic range of signal for the performance analysis.  相似文献
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提出基于二次多项式拟合的数据融合算法用于激光雷达信号探测.充分考虑模拟探测和光子计数的非线性关系,选择有效增大数据融合区间;分析云对区间内的模拟探测和光子计数数据质量的影响并进行质量控制,获得稳定的融合系数;同时利用模拟探测和光子计数的非线性关系校正脉冲堆积引入光子计数信号的非线性误差.以直接探测多普勒激光雷达为例,开展与探空气球的同步对比实验.结果显示:本文算法较之现有商用算法,风速相关系数从0.8提高到0.85,均方根误差从3.37 m/s降低至2.41 m/s,偏差从0.60 m/s降低至0.06 m/s,证明改进后的融合算法能够有效提高直接探测多普勒激光雷达风场探测的精度,可更好地应用于大气探测激光雷达的远场和近场信号的融合处理.  相似文献
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