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通过V2V MIMO通信对车辆的移动速度影响的性能研究
Jerawat Sopajarn1, Apidet Booranawong1, Surachate Chumpol2
1Department of Electrical and Biomedical Engineering, Faculty of Engineering, Prince of Songkla University, Hat Yai 90110, Songkhla, Thailand.
Sensors (Basel, Switzerland)
|February 26, 2025
概括
车辆对车辆 (V2V) 通信质量影响自动驾驶控制. 多输入和多输出 (MIMO) 通信显著提高了对单输入和单输出 (SISO) 系统的控制稳定性,特别是在更高的速度.
科学领域:
- 智能运输系统 (ITS) 是一种智能运输系统.
- 自动驾驶汽车技术自动驾驶汽车技术
- 无线通信系统无线通信系统
背景情况:
- 车辆对车辆 (V2V) 通信对于推进智能运输系统 (ITS),提高驾驶安全,优化交通流量以及实现自动驾驶汽车发展至关重要.
- V2V通信通道的性能,环境条件,交通模式和车辆速度都对自动驾驶汽车控制系统的精度产生了重大影响.
研究的目的:
- 提出一个多功能系统层面的框架,用于调查,实验和验证V2V通信对自动驾驶汽车控制的影响.
- 分析不同移动速度和通信通道类型对V2V通信质量和随后的车辆控制的影响.
主要方法:
- 开发一个系统层面的框架来模拟车辆功能,通信道和驾驶场景.
- 实验设置涉及领先车辆在高层建筑环境中以每小时36公里的速度改变车道,追随车辆的速度从每小时40公里到每小时80公里不等.
- 测量单个输入和单个输出 (SISO) 和多个输入和多个输出 (MIMO) 系统在不同的速度差异下通信链路质量.
主要成果:
- 与多输入和多输出 (MIMO) 通信相比,单输入和单输出 (SISO) 通信的效率较低.
- 4公里/小时的速度差 (领先者在36公里/小时,追随者在40公里/小时) 导致SISO链接质量低于0.85,导致追随者车辆控制不稳定.
- 将追随车辆的速度提高到每小时80公里,由于车辆间距离减少,SISO链接质量提高到大约0.95,提高了控制稳定性.
- 多输入和多输出 (MIMO) 通信有效地减轻了SISO通信的负面影响,提供了卓越的性能,并允许正确的后续车辆决策.
结论:
- 为了克服V2V系统中SISO通信的局限性,MIMO通信技术和最佳信号选择至关重要.
- 提高通信质量,特别是通过MIMO,直接转化为更可靠和稳定的自动驾驶汽车控制,即使在具有挑战性的速度差异和环境下.
- 开发的框架为加速自动驾驶应用的V2V通信的研发提供了有价值的工具.
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