论文标题
基于雷达通信的联合通信的贝叶斯预测界定车辆网络
Joint Radar-Communication-Based Bayesian Predictive Beamforming for Vehicular Networks
论文作者
论文摘要
在本文中，我们基于双功能雷达通信（DFRC）技术开发了一种预测性束成式方案，其中路边单元估计利用DFRC信号回声的车辆运动参数。与传统的基于反馈的光束跟踪方法相比，提出的方法可以减少信号开销并改善跟踪性能。提出了一个新的消息传递算法，该算法得出了最大的后验估计得出的几乎最佳性能。仿真结果显示了提出的基于DFRC方案的有效性。
In this paper, we develop a predictive beamforming scheme based on the dual-functional radar-communication (DFRC) technique, where the road-side units estimates the motion parameters of vehicles exploiting the echoes of the DFRC signals. Compared to the conventional feedback-based beam tracking approaches, the proposed method can reduce the signaling overhead and improve the tracking performance. A novel message passing algorithm is proposed, which yields a near optimal performance achieved by the maximum a posteriori estimation. Simulation results have shown the effectiveness of the proposed DFRC based scheme.
