Paper
17 May 2019 Simulation software design for Guanlan lidar data link
Ming Fang, Yong Tan, Hongxing Cai
Author Affiliations +
Proceedings Volume 11170, 14th National Conference on Laser Technology and Optoelectronics (LTO 2019); 1117041 (2019) https://doi.org/10.1117/12.2534038
Event: Fourteenth National Conference on Laser Technology and Optoelectronics, 2019, Shanghai, China
Abstract
Guanlan is a Marine science satellite designed by Qingdao Pilot National Laboratory for Marine Science and Technology. Its application goal is to detect atmospheric parameters and ocean parameters of water bodies. In order to verify the rationality of the design of the parameters of spaceborne lidar, we use MATLAB as the basic simulation software development platform. By reasonable design of laser pulse signal source, atmospheric transmission channel, underwater transmission channel, optical system and detector receiving model, link simulation and parameter inversion. To capture the information carried by the echo signal more accurately, we use 1ns as sampling interval, the energy of each laser pulse is converted to the number of photons and then hashed in each sampling interval according to the Gauss shape, achieving the process of launching, transmitting and receiving simulated signals. The simulation results show that the software platform achieves the purpose of evaluating and guiding the design process of system parameters.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ming Fang, Yong Tan, and Hongxing Cai "Simulation software design for Guanlan lidar data link", Proc. SPIE 11170, 14th National Conference on Laser Technology and Optoelectronics (LTO 2019), 1117041 (17 May 2019); https://doi.org/10.1117/12.2534038
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Signal processing

Pulsed laser operation

LIDAR

Signal detection

Optical simulations

Atmospheric modeling

Satellites

Back to Top