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Adaptive and Fast Combined Waveform-Beamforming Design for MMWave Automotive Joint Communication-Radar
IEEE Journal of Selected Topics in Signal Processing ( IF 7.5 ) Pub Date : 2021-04-07 , DOI: 10.1109/jstsp.2021.3071592 Preeti Kumari , Nitin Jonathan Myers , Robert W. Heath
IEEE Journal of Selected Topics in Signal Processing ( IF 7.5 ) Pub Date : 2021-04-07 , DOI: 10.1109/jstsp.2021.3071592 Preeti Kumari , Nitin Jonathan Myers , Robert W. Heath
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.
中文翻译:
MMWave汽车联合通信-雷达自适应快速组合波形-波束成形设计
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,由于采用了定向通信波束,基于毫米波通信硬件的现有 JCR 系统存在有限的角度视场和低的雷达估计精度。在本文中,我们为毫米波汽车 JCR 提出了一种自适应和快速组合波形波束成形设计,其相控阵架构允许在通信和雷达性能之间进行权衡。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 设计采用发射波束成形器的循环位移来获取雷达信道测量值,并在时空维度使用二维压缩感知 (CS)。在我们问题中的时空采样约束下,我们优化这些循环位移以最小化 CS 矩阵的相干性。我们使用用于雷达估计的归一化均方误差 (MSE) 度量和用于数据通信的失真 MSE 度量来评估 JCR 性能权衡,这类似于率失真理论中的失真度量。此外,我们为自适应 JCR 组合波形波束成形设计开发了一个基于 MSE 的加权平均优化问题。
更新日期:2021-06-11
中文翻译:
MMWave汽车联合通信-雷达自适应快速组合波形-波束成形设计
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,由于采用了定向通信波束,基于毫米波通信硬件的现有 JCR 系统存在有限的角度视场和低的雷达估计精度。在本文中,我们为毫米波汽车 JCR 提出了一种自适应和快速组合波形波束成形设计,其相控阵架构允许在通信和雷达性能之间进行权衡。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 设计采用发射波束成形器的循环位移来获取雷达信道测量值,并在时空维度使用二维压缩感知 (CS)。在我们问题中的时空采样约束下,我们优化这些循环位移以最小化 CS 矩阵的相干性。我们使用用于雷达估计的归一化均方误差 (MSE) 度量和用于数据通信的失真 MSE 度量来评估 JCR 性能权衡,这类似于率失真理论中的失真度量。此外,我们为自适应 JCR 组合波形波束成形设计开发了一个基于 MSE 的加权平均优化问题。