State Estimation for Mitigating Positioning Errors in V2V Networks Employing Dual Beamforming
State Estimation for Mitigating Positioning Errors in V2V Networks Employing Dual Beamforming
复制标题
DOI：
10.1109/vtcfall.2018.8690869
复制
发表时间：
2018-08
期刊：
影响因子：
--
通讯作者：
Nivetha Kanthasamy;Raghvendra V. Cowlagi;A. Wyglinski
中科院分区：
文献类型：
--
作者：
Nivetha Kanthasamy;Raghvendra V. Cowlagi;A. Wyglinski
在本文中，我们提出了一种新的方法，用于减轻定位误差的车辆到车辆（V2 V）网络环境中，数字波束成形进行发射机和接收机。执行波束成形的V2 V网络中的所有发射机和接收机的位置信息对于确保可靠的链路质量至关重要。然而，存在若干错误来源，其中此位置信息可能已损坏或过期。通过利用本文中提出的采用状态估计的方法，可以减轻这些误差，从而相对于不采用有助于减轻潜在位置误差源的技术的V2 V网络架构提供更准确的位置信息。仿真结果表明，所提出的方法相对于不考虑位置误差的V2 V波束形成架构有99%的改进。
In this paper, we present a novel approach for mitigating positioning errors in vehicle-to-vehicle (V2V) networking environments where digital beamforming is conducted at both transmitters and receivers. Location information of all transmitters and receivers in V2V networks performing beamforming is essential in order to ensure reliable link quality. However, there exists several sources of error where this location information can be corrupted or out-of-date. By leveraging the proposed approach in this paper employing state estimation, these errors can be mitigated, thus providing more accurate location information relative to V2V networking architectures that do not employ techniques to help mitigate potential sources of location error. Simulation results show a $99\%$ improvement of the proposed approach relative to V2V beamformiong architectures that do not account for location errors.