Sparse Bayes Tensor and DOA Tracking Inspired Channel Estimation for V2X Millimeter Wave Massive MIMO System

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ID: 265987
2021
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Abstract
Efficient vehicle-to-everything (V2X) communications improve traffic safety, enable autonomous driving, and help to reduce environmental impacts. To achieve these objectives, accurate channel estimation in highly mobile scenarios becomes necessary. However, in the V2X millimeter-wave massive MIMO system, the high mobility of vehicles leads to the rapid time-varying of the wireless channel and results in the existing static channel estimation algorithms no longer applicable. In this paper, we propose a sparse Bayes tensor and DOA tracking inspired channel estimation for V2X millimeter wave massive MIMO system. Specifically, by exploiting the sparse scattering characteristics of the channel, we transform the channel estimation into a sparse recovery problem. In order to reduce the influence of quantization errors, both the receiving and transmitting angle grids should have super-resolution. We obtain the measurement matrix to increase the resolution of the redundant dictionary. Furthermore, we take the low-rank characteristics of the received signals into consideration rather than singly using the traditional sparse prior. Motivated by the sparse Bayes tensor, a direction of arrival (DOA) tracking method is developed to acquire the DOA at the next moment, which equals the sum of the DOA at the previous moment and the offset. The obtained DOA is expected to provide a significant angle information update for tracking fast time-varying vehicular channels. The proposed approach is evaluated over the different speeds of the vehicle scenarios and compared to the other methods. Simulation results validated the theoretical analysis and demonstrate that the proposed solution outperforms a number of state-of-the-art researches.
Reference Key
luo2021sensorssparse Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kaihua Luo;Xiaoping Zhou;Bin Wang;Jifeng Huang;Haichao Liu;Luo, Kaihua;Zhou, Xiaoping;Wang, Bin;Huang, Jifeng;Liu, Haichao;
Journal sensors
Year 2021
DOI
10.3390/s21124021
URL
https://doi.org/10.3390/s21124021
Keywords
vehicle to everything (v2x) mmwave massive mimo channel estimation direction of arrival (doa) tracking

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