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Transmit BeampattarnOptimization for Automotive MIMO Radar Coexistedwith Communication in V2V Networks

Due to the flourishing development of vehicle-to-vehicle (V2V) communications and autonomous driving, interference between radar sensing and communication signals becomes a challenging issue. We propose a transmit beamforming based spectrum sharing scheme to achieve peaceful coexistence between auto...

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Detalles Bibliográficos
Autores principales: Jiang, Zheng-Ming, Zhang, Pei-Chang, Huang, Lei, He, Xin, Zhang, Ji-Hong, Rihan, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070453/
https://www.ncbi.nlm.nih.gov/pubmed/32079364
http://dx.doi.org/10.3390/s20041100
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author Jiang, Zheng-Ming
Zhang, Pei-Chang
Huang, Lei
He, Xin
Zhang, Ji-Hong
Rihan, Mohamed
author_facet Jiang, Zheng-Ming
Zhang, Pei-Chang
Huang, Lei
He, Xin
Zhang, Ji-Hong
Rihan, Mohamed
author_sort Jiang, Zheng-Ming
collection PubMed
description Due to the flourishing development of vehicle-to-vehicle (V2V) communications and autonomous driving, interference between radar sensing and communication signals becomes a challenging issue. We propose a transmit beamforming based spectrum sharing scheme to achieve peaceful coexistence between automotive multiple-input multiple-out (MIMO) radar and communication systems. Our objective is to maximize the signal-to-interference-plus-noise ratio (SINR) of the automotive radar receiver subject to the communication capacity and the transmitted power budget constraints to optimize both the communication covariance matrix and the radar transmit precoder. The formulated optimization problem is non-convex, which is converted to convex by introducing a new slack variable and then solving it using the block coordinate descent, also called alternation optimization, approach. Additionally, the ellipsoid sub-gradient method is then employed to reduce the computational complexity. Simulation results demonstrate that our proposed scheme outperforms the conventional schemes.
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spelling pubmed-70704532020-03-19 Transmit BeampattarnOptimization for Automotive MIMO Radar Coexistedwith Communication in V2V Networks Jiang, Zheng-Ming Zhang, Pei-Chang Huang, Lei He, Xin Zhang, Ji-Hong Rihan, Mohamed Sensors (Basel) Article Due to the flourishing development of vehicle-to-vehicle (V2V) communications and autonomous driving, interference between radar sensing and communication signals becomes a challenging issue. We propose a transmit beamforming based spectrum sharing scheme to achieve peaceful coexistence between automotive multiple-input multiple-out (MIMO) radar and communication systems. Our objective is to maximize the signal-to-interference-plus-noise ratio (SINR) of the automotive radar receiver subject to the communication capacity and the transmitted power budget constraints to optimize both the communication covariance matrix and the radar transmit precoder. The formulated optimization problem is non-convex, which is converted to convex by introducing a new slack variable and then solving it using the block coordinate descent, also called alternation optimization, approach. Additionally, the ellipsoid sub-gradient method is then employed to reduce the computational complexity. Simulation results demonstrate that our proposed scheme outperforms the conventional schemes. MDPI 2020-02-17 /pmc/articles/PMC7070453/ /pubmed/32079364 http://dx.doi.org/10.3390/s20041100 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jiang, Zheng-Ming
Zhang, Pei-Chang
Huang, Lei
He, Xin
Zhang, Ji-Hong
Rihan, Mohamed
Transmit BeampattarnOptimization for Automotive MIMO Radar Coexistedwith Communication in V2V Networks
title Transmit BeampattarnOptimization for Automotive MIMO Radar Coexistedwith Communication in V2V Networks
title_full Transmit BeampattarnOptimization for Automotive MIMO Radar Coexistedwith Communication in V2V Networks
title_fullStr Transmit BeampattarnOptimization for Automotive MIMO Radar Coexistedwith Communication in V2V Networks
title_full_unstemmed Transmit BeampattarnOptimization for Automotive MIMO Radar Coexistedwith Communication in V2V Networks
title_short Transmit BeampattarnOptimization for Automotive MIMO Radar Coexistedwith Communication in V2V Networks
title_sort transmit beampattarnoptimization for automotive mimo radar coexistedwith communication in v2v networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070453/
https://www.ncbi.nlm.nih.gov/pubmed/32079364
http://dx.doi.org/10.3390/s20041100
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