Minghua Cao;Lingyun Zhang;Yue Zhang;Shengchun Han;Xia Zhang;Xinhui Shi
{"title":"基于MIMO和PSO的OFDM激光雷达通信集成系统优化","authors":"Minghua Cao;Lingyun Zhang;Yue Zhang;Shengchun Han;Xia Zhang;Xinhui Shi","doi":"10.1109/LPT.2025.3552608","DOIUrl":null,"url":null,"abstract":"To enhance the anti-interference capability of the orthogonal frequency division multiplexing (OFDM) light detection and ranging (LiDAR)-communication integration system, a multiple input multiple output (MIMO)-OFDM LiDAR-communication integration system is proposed. The system employs MIMO spatial diversity techniques to ensure signal quality and utilizes the particle swarm optimization (PSO) algorithm to optimize the power distribution of LiDAR resource units (RUs). Simulation results demonstrate that, in the <inline-formula> <tex-math>$4\\times 4$ </tex-math></inline-formula> MIMO configuration, the proposed system achieves a minimum of 7 dB improvement in bit error rate (BER) performance compared to conventional OFDM systems. Additionally, it reduces the peak sidelobe ratio (PSLR) and integrated sidelobe ratio (ISLR) in the range direction by 12.91 dB and 11.92 dB, respectively. Following PSO optimization, the system further decreases the ISLR in the velocity direction by 15.49 dB.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"37 12","pages":"655-658"},"PeriodicalIF":2.3000,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of OFDM LiDAR-Communication Integration System Using MIMO and PSO\",\"authors\":\"Minghua Cao;Lingyun Zhang;Yue Zhang;Shengchun Han;Xia Zhang;Xinhui Shi\",\"doi\":\"10.1109/LPT.2025.3552608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To enhance the anti-interference capability of the orthogonal frequency division multiplexing (OFDM) light detection and ranging (LiDAR)-communication integration system, a multiple input multiple output (MIMO)-OFDM LiDAR-communication integration system is proposed. The system employs MIMO spatial diversity techniques to ensure signal quality and utilizes the particle swarm optimization (PSO) algorithm to optimize the power distribution of LiDAR resource units (RUs). Simulation results demonstrate that, in the <inline-formula> <tex-math>$4\\\\times 4$ </tex-math></inline-formula> MIMO configuration, the proposed system achieves a minimum of 7 dB improvement in bit error rate (BER) performance compared to conventional OFDM systems. Additionally, it reduces the peak sidelobe ratio (PSLR) and integrated sidelobe ratio (ISLR) in the range direction by 12.91 dB and 11.92 dB, respectively. Following PSO optimization, the system further decreases the ISLR in the velocity direction by 15.49 dB.\",\"PeriodicalId\":13065,\"journal\":{\"name\":\"IEEE Photonics Technology Letters\",\"volume\":\"37 12\",\"pages\":\"655-658\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Photonics Technology Letters\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10930960/\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Photonics Technology Letters","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10930960/","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Optimization of OFDM LiDAR-Communication Integration System Using MIMO and PSO
To enhance the anti-interference capability of the orthogonal frequency division multiplexing (OFDM) light detection and ranging (LiDAR)-communication integration system, a multiple input multiple output (MIMO)-OFDM LiDAR-communication integration system is proposed. The system employs MIMO spatial diversity techniques to ensure signal quality and utilizes the particle swarm optimization (PSO) algorithm to optimize the power distribution of LiDAR resource units (RUs). Simulation results demonstrate that, in the $4\times 4$ MIMO configuration, the proposed system achieves a minimum of 7 dB improvement in bit error rate (BER) performance compared to conventional OFDM systems. Additionally, it reduces the peak sidelobe ratio (PSLR) and integrated sidelobe ratio (ISLR) in the range direction by 12.91 dB and 11.92 dB, respectively. Following PSO optimization, the system further decreases the ISLR in the velocity direction by 15.49 dB.
期刊介绍:
IEEE Photonics Technology Letters addresses all aspects of the IEEE Photonics Society Constitutional Field of Interest with emphasis on photonic/lightwave components and applications, laser physics and systems and laser/electro-optics technology. Examples of subject areas for the above areas of concentration are integrated optic and optoelectronic devices, high-power laser arrays (e.g. diode, CO2), free electron lasers, solid, state lasers, laser materials'' interactions and femtosecond laser techniques. The letters journal publishes engineering, applied physics and physics oriented papers. Emphasis is on rapid publication of timely manuscripts. A goal is to provide a focal point of quality engineering-oriented papers in the electro-optics field not found in other rapid-publication journals.