基于粒子群算法的车辆关键性能参数识别方法

Q3 Engineering
Qingfeng Liu, Lewen Feng, Jianhong Guo
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引用次数: 0

摘要

为了提高车辆关键性能参数的识别效果,本文将粒子群算法应用于车辆关键性能参数的识别,重点分析了车辆关键性能参数监控设备的参数及传播环境。监测接收机灵敏度的提高可以有效地扩大覆盖距离。NLOS是一个无处不在的传输环境,将NLOS改为LOS传播进一步扩大了覆盖距离。为了保证无线电通信用户的通信质量,保证无线电波覆盖的服务面积和无线电波传播的可靠性,本文详细计算了从接收天线到发射天线的传播损耗。实验结果表明,本文提出的基于粒子群算法的车辆关键性能参数识别方法能够在车辆关键性能参数的识别中发挥重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification Method of Vehicle Key Performance Parameters based on PSO Algorithm
In order to improve the identification effect of vehicle key performance parameters, this paper applies the PSO algorithm to the identification of vehicle key performance parameters and focuses on analyzing the parameters of the vehicle key performance parameter monitoring equipment and the propagation environment. The improvement of sensitivity of the monitoring receiver can effectively extend the coverage distance. NLOS is a ubiquitous transmission environment and changing NLOS to LOS propagation further extends the coverage distance. In order to ensure the communication quality of radio communication users, ensure that the service area covered by radio waves and the reliability of radio wave propagation, this paper calculates the propagation loss from the receiving antenna to the transmitting antenna in detail. The experimental results show that the identification method of vehicle key performance parameters based on PSO algorithm proposed in this paper can play an important role in the identification of vehicle key performance parameters.
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来源期刊
International Journal of Vehicle Structures and Systems
International Journal of Vehicle Structures and Systems Engineering-Mechanical Engineering
CiteScore
0.90
自引率
0.00%
发文量
78
期刊介绍: The International Journal of Vehicle Structures and Systems (IJVSS) is a quarterly journal and is published by MechAero Foundation for Technical Research and Education Excellence (MAFTREE), based in Chennai, India. MAFTREE is engaged in promoting the advancement of technical research and education in the field of mechanical, aerospace, automotive and its related branches of engineering, science, and technology. IJVSS disseminates high quality original research and review papers, case studies, technical notes and book reviews. All published papers in this journal will have undergone rigorous peer review. IJVSS was founded in 2009. IJVSS is available in Print (ISSN 0975-3060) and Online (ISSN 0975-3540) versions. The prime focus of the IJVSS is given to the subjects of modelling, analysis, design, simulation, optimization and testing of structures and systems of the following: 1. Automotive vehicle including scooter, auto, car, motor sport and racing vehicles, 2. Truck, trailer and heavy vehicles for road transport, 3. Rail, bus, tram, emerging transit and hybrid vehicle, 4. Terrain vehicle, armoured vehicle, construction vehicle and Unmanned Ground Vehicle, 5. Aircraft, launch vehicle, missile, airship, spacecraft, space exploration vehicle, 6. Unmanned Aerial Vehicle, Micro Aerial Vehicle, 7. Marine vehicle, ship and yachts and under water vehicles.
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