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On an approach for improving the range resolution of pulsed coherent Doppler lidars

机译：一种改善脉冲相干多普勒激光雷达的距离分辨率的方法

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As a result of an analysis of the autocovariance of the complex heterodyne lidar signal, some general-enough inverse techniques (algorithms) are derived for recovering with high range resolution, below the sensing pulse length, of Doppler-velocity profiles in the atmosphere. Unlike our preceding works, it is assumed here that the laser pulses can have arbitrary fluctuating shape. The presence is also supposed of possible regular, arbitrary in form, intrapulse frequency deviations (chirp) and random frequency, phase and radial (Doppler)-velocity fluctuations. The algorithm performance and efficiency are studied and illustrated by computer simulations, taking into account the influence of the chirp and various random factors such as additive noise, pulse-shape fluctuations and radial-velocity fluctuations. It is shown that the algorithms developed allow the Doppler-velocity profiles to be determined with a considerably shorter resolution interval compared with the pulse length, at a reasonable number of signal realizations (laser shots) and appropriate data processing to reduce the statistical error due to the random factors.
机译：分析复杂外差激光雷达信号的自协方差的结果，得出了一些通用的反演技术（算法），用于在大气中的多普勒速度剖面下低于感测脉冲长度的高分辨率恢复。与我们先前的工作不同，这里假设激光脉冲可以具有任意波动的形状。还假定存在这种可能的规则的，任意形式的脉冲内频率偏差（线性调频）和随机频率，相位和径向（多普勒）速度波动。考虑computer的影响以及各种随机因素（例如加性噪声，脉冲形状波动和径向速度波动）的影响，通过计算机仿真研究和说明了算法的性能和效率。结果表明，所开发的算法允许以合理的信号实现数量（激光发射）和适当的数据处理来减少多普勒速度分布，该多普勒速度分布的确定间隔与脉冲长度相比要短得多，而由于随机因素。

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