Dual Mode Localization Assisted Beamforming for mmWave V2V Communication
Dual Mode Localization Assisted Beamforming for mmWave V2V Communication
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DOI：
10.1109/tvt.2022.3175165
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发表时间：
2022-09-01
影响因子：
6.8
通讯作者：
Fang, Hua
中科院分区：
文献类型：
--
作者：
Mahabal, Chinmay;Wang, Honggang;Fang, Hua
本研究的动机是毫米波（mmWave）车对车通信中的定位成为一个更关键的问题，因为通信链路的两个终端都在运动中的事实。仅基于GPS或本地传感器的位置感知具有约10米的误差范围，这可能在道路拓扑和高速公路交通等不确定的实时条件下恶化。本文分析了高指向性天线的车辆动力学、波束形成和波束对准之间的关系。当考虑本文提出的子系统模型时，联合车辆动态波束形成方法将优化链路连通性和信噪比。车辆动力学模型的设计是更现实的考虑非线性加速度的基础上，油门制动器的颠簸，由于诱导噪声。基于Unscented卡尔曼滤波器的预测子系统即使在非线性加速和急动期间也能预测对准值。移相器和阵元数目的要求支持波束形成策略的天线设计的可行性。
This study is motivated by the fact that localization in millimeter wave(mmWave) Vehicle-to-Vehicle communication becomes a more critical problem because both the terminals of the communication link are in motion. The positional awareness merely based on GPS or local sensors has an error margin of around 10 meters, which can worsen in uncertain real-time conditions such as road topology and highway traffic. The paper analyses the relation between vehicle dynamics, beamforming, and beam alignment for highly directive antennas. When the subsystem models presented in this paper are taken into consideration, the joint vehicle dynamics-beamforming approach will optimize the link connectivity and SNR. The vehicle dynamics model is designed to be more realistic considering the non-linear acceleration based on the throttle-brake jerks due to induced noises. The Unscented Kalman Filter based prediction subsystem predicts the alignment values even during non-linear acceleration and jerks. The feasibility of antenna design for the beamforming strategies is supported by the requirements of phase shifters and the number of elements.