Adaptive and Fast Combined Waveform-Beamforming Design for MMWave Automotive Joint Communication-Radar
Adaptive and Fast Combined Waveform-Beamforming Design for MMWave Automotive Joint Communication-Radar
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DOI：
10.1109/jstsp.2021.3071592
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发表时间：
2020-09
影响因子：
7.5
通讯作者：
P. Kumari;Nitin Jonathan Myers;R. Heath
中科院分区：
文献类型：
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作者：
P. Kumari;Nitin Jonathan Myers;R. Heath
毫米波（mmWave）联合通信雷达（JCR）将为自动驾驶等应用提供高数据速率通信和高分辨率雷达传感。然而，基于毫米波通信硬件的现有JCR系统由于所采用的定向通信波束而遭受有限的角度视场和雷达的低估计精度。在本文中，我们提出了一种自适应和快速组合的波形波束成形设计的毫米波汽车JCR与相控阵架构，允许通信和雷达性能之间的权衡。为了在宽视场的多普勒角域中快速估计毫米波汽车雷达信道，我们的JCR设计采用发射波束形成器的循环移位来获取雷达信道测量值，并在时空维度中使用二维压缩感知（CS）。我们优化这些循环移位，以尽量减少CS矩阵的相干性，在我们的问题的时空采样约束下。我们评估的JCR性能权衡使用归一化均方误差（MSE）度量雷达估计和失真MSE度量数据通信，这是类似于率失真理论中的失真度量。此外，我们开发了一个基于MSE的加权平均优化问题的自适应JCR组合波形波束形成的设计。数值结果表明，我们提出的JCR设计，使短距离和中程雷达信道的估计在多普勒角域具有低归一化的MSE，在一个小的通信失真MSE退化的代价。
Millimeter-wave (mmWave) joint communication-radar (JCR) will enable high data rate communication and high-resolution radar sensing for applications such as autonomous driving. Prior JCR systems that are based on the mmWave communications hardware, however, suffer from a limited angular field-of-view and low estimation accuracy for radars due to the employed directional communication beam. In this paper, we propose an adaptive and fast combined waveform-beamforming design for the mmWave automotive JCR with a phased-array architecture that permits a trade-off between communication and radar performances. To rapidly estimate the mmWave automotive radar channel in the Doppler-angle domain with a wide field-of-view, our JCR design employs circulant shifts of the transmit beamformer to acquire radar channel measurements and uses two-dimensional compressed sensing (CS) in the space-time dimension. We optimize these circulant shifts to minimize the coherence of the CS matrix, under the space-time sampling constraints in our problem. We evaluate the JCR performance trade-offs using a normalized mean square error (MSE) metric for radar estimation and a distortion MSE metric for data communication, which is analogous to the distortion metric in the rate-distortion theory. Additionally, we develop a MSE-based weighted average optimization problem for the adaptive JCR combined waveform-beamforming design. Numerical results demonstrate that our proposed JCR design enables the estimation of short- and medium-range radar channels in the Doppler-angle domain with a low normalized MSE, at the expense of a small degradation in the communication distortion MSE.