The effect of different regularization parameter selection strategies on turbulence profile for DCIM Lidar

Zhi Cheng; Xin Zhang; Li-xin He; Chao Mu; Xu Jing

doi:10.1117/12.2599785

18 June 2021 The effect of different regularization parameter selection strategies on turbulence profile for DCIM Lidar

Zhi Cheng, Xin Zhang, Li-xin He, Chao Mu, Xu Jing

Proceedings Volume 11850, First Optics Frontier Conference; 118501G (2021) https://doi.org/10.1117/12.2599785
Event: First Optics Frontier Conference, 2021, Hangzhou, China

Abstract

This paper uses the measured atmospheric coherence length profile data of DCIM lidar to analyze the effect of different regularization parameter selection strategies on the inversion of atmospheric turbulence profile. The criterions of L-curve, generalized cross-validation(GCV), quasi-optimal are used respectively, The inversion results is evaluated by signal-tonoise ratio(SNR) and root mean square error(RMSE). The results show that the GCV criterion perform more stable for various measurements than L-curve and quasi-optimal criterion.

Citation Download Citation

Zhi Cheng, Xin Zhang, Li-xin He, Chao Mu, and Xu Jing "The effect of different regularization parameter selection strategies on turbulence profile for DCIM Lidar", Proc. SPIE 11850, First Optics Frontier Conference, 118501G (18 June 2021); https://doi.org/10.1117/12.2599785

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