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首页> 外文期刊>IEEE communications letters >A Tutorial on Joint Radar and Communication Transmission for Vehicular Networks—Part III: Predictive Beamforming Without State Models
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A Tutorial on Joint Radar and Communication Transmission for Vehicular Networks—Part III: Predictive Beamforming Without State Models

机译:用于车辆网络的联合雷达和通信传输的教程 - 第III部分:无状态模型的预测波束形成

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In Part I and II of this three-part tutorial on dual-functional radar-communication (DFRC) design for vehicular networks, we overviewed the basics of radar and communication systems and the state of the art in DFRC respectively. As Part III of the tutorial, we address the issue of predictive beamforming for the vehicle-to-infrastructure (V2I) links without the need for explicit state evolution models. The beam tracking is done with the aid of the dual-functional radar-communication signals transmitted by the road side unit (RSU). The vehicle's location parameters are estimated by exploiting the reflected echoes signals. Given these estimates, we propose a prediction method to predict the next position of the vehicle, without specifying a state model. Finally, we verify the superiority of the proposed approaches via numerical simulations, which show that the proposed technique outperforms the conventional benchmark schemes in terms of the achievable communication rate.
机译:在该三部分教程的第I和II关于车辆网络的双功能雷达通信(DFRC)设计的第I和II的第I和II中,我们概述了雷达和通信系统的基础知识以及DFRC中的最新技术。作为本教程的第三部分,我们解决了用于基础设施(V2I)链接的预测波束成形的问题,而无需明确的状态演进模型。借助于由路侧单元(RSU)发送的双功能雷达通信信号来完成光束跟踪。通过利用反射的回波信号来估计车辆的位置参数。鉴于这些估计,我们提出了一种预测方法来预测车辆的下一个位置,而不指定状态模型。最后,我们通过数值模拟验证了所提出的方法的优越性,表明所提出的技术在可实现的通信率方面优于传统的基准方案。

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