Estimating wind speed in the lower atmosphere wind profiler based on a genetic algorithm

摘要

A lower atmosphere wind profiler, which is a pulse Doppler radar, is a useful operational tool that can provide unattended and continuous observation of wind profiles. Since the observed signals are usually degraded by ground clutters which are overlapped with the wind signal, it is necessary to develop a method to estimate the wind signal from the observed signals. In this paper, we propose to use a genetic algorithm to resolve the overlapping signals.