A Hybrid Genetic/Powell Algorithm for Wind Measurement in Doppler Lidar

Doppler peaks extraction from massive raw data is a tricky part of coherent wind Lidar (CDWL) optimization. In this paper, hybrid genetic/Powell algorithm (HGAP) proposed to process the power spectrum measured signal CDWL. The HGAP has excellent global exploration capability, which likes traditional genetic algorithms and fast convergence, like Powell method. Hence, advantages find center frequency data, especially search multiple in complex field measurement. Compared with other notable algorithms, shows performance numerical optimization when we use it solve 27 typical benchmark functions. Then, our used experiment radial results show that can obtain speed components quickly accurately value for application analysis.