Zhiyong Wu;Jinbo Xue;Wei Liu;Dairan Jin;Xingxin Fu;Hongli Li;Yixuan Tan;Jingtai Cao
{"title":"Numerical Simulation of Performance Improvement of Coherent LiDAR Based on SPGD Algorithm","authors":"Zhiyong Wu;Jinbo Xue;Wei Liu;Dairan Jin;Xingxin Fu;Hongli Li;Yixuan Tan;Jingtai Cao","doi":"10.1109/JPHOT.2024.3488073","DOIUrl":null,"url":null,"abstract":"Atmospheric turbulence can significantly impact the effectiveness of light detection and ranging (LiDAR) in long-range detection. A technique for wavefront correction, which is based on the stochastic parallel gradient descent (SPGD) optimization algorithm, is proposed. The method integrates coherent detection theory with adaptive optics technology, effectively mitigating the adverse effects of turbulence. This work evaluates the suitability of the algorithm in coherent LiDAR through theoretical analysis and establishes the necessary theoretical relationships. Through numerical simulation, we assess its optimization ability for Strehl ratio (SR), bit error rate (BER), signal to noise ratio (SNR), and detection distance (DR). We also conduct a comprehensive analysis of the impact of the number of iterations of the algorithm affecting SR, SNR, and DR. This analysis provides robust data support for balancing the performance of the system. The results show that the corrected SR can reach 0.96, 0.88, and 0.75, the SNR can be improved by 7 dB, 16 dB, and 26 dB, and the DR can be improved by 8%, 17%, and 30% in gentle, moderate, and strong turbulence, respectively.","PeriodicalId":13204,"journal":{"name":"IEEE Photonics Journal","volume":"16 6","pages":"1-7"},"PeriodicalIF":2.1000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10738482","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Photonics Journal","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10738482/","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Atmospheric turbulence can significantly impact the effectiveness of light detection and ranging (LiDAR) in long-range detection. A technique for wavefront correction, which is based on the stochastic parallel gradient descent (SPGD) optimization algorithm, is proposed. The method integrates coherent detection theory with adaptive optics technology, effectively mitigating the adverse effects of turbulence. This work evaluates the suitability of the algorithm in coherent LiDAR through theoretical analysis and establishes the necessary theoretical relationships. Through numerical simulation, we assess its optimization ability for Strehl ratio (SR), bit error rate (BER), signal to noise ratio (SNR), and detection distance (DR). We also conduct a comprehensive analysis of the impact of the number of iterations of the algorithm affecting SR, SNR, and DR. This analysis provides robust data support for balancing the performance of the system. The results show that the corrected SR can reach 0.96, 0.88, and 0.75, the SNR can be improved by 7 dB, 16 dB, and 26 dB, and the DR can be improved by 8%, 17%, and 30% in gentle, moderate, and strong turbulence, respectively.
期刊介绍:
Breakthroughs in the generation of light and in its control and utilization have given rise to the field of Photonics, a rapidly expanding area of science and technology with major technological and economic impact. Photonics integrates quantum electronics and optics to accelerate progress in the generation of novel photon sources and in their utilization in emerging applications at the micro and nano scales spanning from the far-infrared/THz to the x-ray region of the electromagnetic spectrum. IEEE Photonics Journal is an online-only journal dedicated to the rapid disclosure of top-quality peer-reviewed research at the forefront of all areas of photonics. Contributions addressing issues ranging from fundamental understanding to emerging technologies and applications are within the scope of the Journal. The Journal includes topics in: Photon sources from far infrared to X-rays, Photonics materials and engineered photonic structures, Integrated optics and optoelectronic, Ultrafast, attosecond, high field and short wavelength photonics, Biophotonics, including DNA photonics, Nanophotonics, Magnetophotonics, Fundamentals of light propagation and interaction; nonlinear effects, Optical data storage, Fiber optics and optical communications devices, systems, and technologies, Micro Opto Electro Mechanical Systems (MOEMS), Microwave photonics, Optical Sensors.