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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.
Afiliação
  • Jiang ZM; Guangdong Laboratory of Artificial-Intelligence and Cyber-Economics (SZ), Shenzhen University, Shenzhen 518060, China.
  • Zhang PC; Guangdong Laboratory of Artificial-Intelligence and Cyber-Economics (SZ), Shenzhen University, Shenzhen 518060, China.
  • Huang L; Guangdong Laboratory of Artificial-Intelligence and Cyber-Economics (SZ), Shenzhen University, Shenzhen 518060, China.
  • He X; Guangdong Laboratory of Artificial-Intelligence and Cyber-Economics (SZ), Shenzhen University, Shenzhen 518060, China.
  • Zhang JH; Guangdong Laboratory of Artificial-Intelligence and Cyber-Economics (SZ), Shenzhen University, Shenzhen 518060, China.
  • Rihan M; School of Mathematics and Statistics, Shenzhen University, Shenzhen 518060, China.
Sensors (Basel) ; 20(4)2020 Feb 17.
Article em En | MEDLINE | ID: mdl-32079364
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China