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DoA and DoD Estimation and Hybrid Beamforming for Radar-Aided mmWave MIMO Vehicular Communication Systems

School of Electronic and Information, Shanghai Dianji University, Shanghai 201306, China
State Key Laboratory of Millimeter Waves, School of Information Science and Engineering, Southeast University, Nanjing 210096, China
Science and Technology on Electromagnetic Scattering Laboratory, Shanghai 200438, China
Xi’an branch of China Academy of Space Technology, Xi’an 710100, China
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Electronics 2018, 7(3), 40;
Received: 29 January 2018 / Revised: 4 March 2018 / Accepted: 15 March 2018 / Published: 18 March 2018
PDF [1037 KB, uploaded 18 March 2018]


In millimeter wave (mmWave) communications, the feature of relatively large signal absorption and directional transmission render new challenges for wireless communications and signal processing. To further improve the performance of mmWave communications, a novel radar-aided mmWave communication (RAMC) approach is proposed, which can be used in vehicular communications. There are two parts in the proposed RAMC system, including the radar subsystem and the mmWave communication subsystem. In the radar subsystem, the bistatic co-prime multi-input and multi-output (MIMO) arrays are considered. With the radar antenna arrays, both the directions of departure (DoD) and the directions of arrival (DoA) are estimated. Additionally, the compressed sensing (CS)-based method is proposed to obtain the target positions. Using the estimated angle and position information, the channel estimation and feedback link of the mmWave communication subsystem can be eliminated. Moreover, a hybrid beamforming algorithm is proposed in the mmWave communication subsystem, which can overcome the shortage of the analog-only beamforming. Simulation results show that the better estimation performance can be achieved by the bistatic co-prime MIMO arrays than that by the traditional uniform linear arrays (ULA), and with the radar aided, the mmWave communication subsystem can reduce the beam search time, and the cell discovery time is improved significantly. View Full-Text
Keywords: compressed sensing; DoA estimation; hybrid beamforming; millimeter wave; radar compressed sensing; DoA estimation; hybrid beamforming; millimeter wave; radar

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Chen, Z.; Cao, Z.; He, X.; Jin, Y.; Li, J.; Chen, P. DoA and DoD Estimation and Hybrid Beamforming for Radar-Aided mmWave MIMO Vehicular Communication Systems. Electronics 2018, 7, 40.

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