Homodyne detection efficiency analysis of coherent lidar based on a hybrid algorithm

Atmospheric turbulence-induced phase variations affect the homodyne detection efficiency of the coherent lidar, which further affects the performance of the lidar. Adaptive optics (AO) is an effective method to correct turbulence-induced wavefront aberrations. In this paper, a coherent lidar wavefront correction technique based on a hybrid algorithm of stochastic parallel gradient descent (SPGD) and simulated annealing (SA) is proposed on the basis of a theoretical analysis. The simulation results verify that the hybrid algorithm can significantly improve the efficiency of homodyne detection in coherent lidar. The results show that the hybrid algorithm has the characteristics of fast convergence speed and strong correction ability. The conclusion of this paper provides a reference for the design of the coherent lidar AO system.