Optimal Precoder Design for MIMO-OFDM-based Joint Automotive Radar-Communication Networks
Optimal Precoder Design for MIMO-OFDM-based Joint Automotive Radar-Communication Networks
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DOI：
10.23919/wiopt52861.2021.9589830
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发表时间：
2021-09
期刊：
影响因子：
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通讯作者：
Ceyhun D. Ozkaptan;E. Ekici;Chang-Heng Wang;O. Altintas
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文献类型：
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作者：
Ceyhun D. Ozkaptan;E. Ekici;Chang-Heng Wang;O. Altintas
采用协作感知技术的联网车辆的大规模部署增加了对 5.9 GHz 车联网 (V2X) 通信频谱的需求，该频谱主要用于安全消息的交换。为了补充 V2X 通信并支持宽带应用所需的高数据速率，可以利用 76-81 GHz 的毫米波 (mmWave) 汽车雷达频谱。为此，文献中提出了联合雷达通信系统，以使用相同的波形和硬件来执行这两种功能。虽然与多个用户的多输入和多输出 (MIMO) 通信可实现独立的数据流以实现高吞吐量，但 MIMO 雷达处理可提供对安全关键系统至关重要的高分辨率成像。然而，采用专为通信设计的传统预编码方法会产生定向波束，从而损害数据流期间的 MIMO 雷达成像和目标跟踪能力。在本文中，我们提出了一种基于正交频分复用 (OFDM) 波形的 MIMO 联合汽车雷达通信 (JARC) 框架。首先，我们表明 MIMO-OFDM 前导码可用于 MIMO 雷达处理和通信信道估计。然后，我们提出了一种最佳的预编码器设计方法，可以在向多个接收器传输独立数据流的同时实现高精度目标跟踪。所提出的方法为 MIMO JARC 网络提供高分辨率雷达成像和高吞吐量能力。最后，我们通过数值模拟评估所提出方法的有效性。
Large-scale deployment of connected vehicles with cooperative awareness technologies increases the demand for vehicle-to-everything (V2X) communication spectrum in 5.9 GHz that is mainly allocated for the exchange of safety messages. To supplement V2X communication and support the high data rates needed by broadband applications, the millimeter-wave (mmWave) automotive radar spectrum at 76-81 GHz can be utilized. For this purpose, joint radar-communication systems have been proposed in the literature to perform both functions using the same waveform and hardware. While multiple-input and multiple-output (MIMO) communication with multiple users enables independent data streaming for high throughput, MIMO radar processing provides high-resolution imaging that is crucial for safety-critical systems. However, employing conventional precoding methods designed for communication generates directional beams that impair MIMO radar imaging and target tracking capabilities during data streaming. In this paper, we propose a MIMO joint automotive radar-communication (JARC) framework based on orthogonal frequency division multiplexing (OFDM) waveform. First, we show that the MIMO-OFDM preamble can be exploited for both MIMO radar processing and estimation of the communication channel. Then, we propose an optimal precoder design method that enables high accuracy target tracking while transmitting independent data streams to multiple receivers. The proposed methods provide high-resolution radar imaging and high throughput capabilities for MIMO JARC networks. Finally, we evaluate the efficacy of the proposed methods through numerical simulations.