Joint Antenna Selection and Beamforming in Integrated Automotive Radar Sensing-Communications with Quantized Double Phase Shifters

Author:

Xu Lifan1,Sun Shunqiao1,Zhang Yimin D.2,Petropulu Athina3

Affiliation:

1. The University of Alabama,Department of Electrical and Computer Engineering,Tuscaloosa,AL,USA

2. Temple University,Department of Electrical and Computer Engineering,Philadelphia,PA,USA

3. Rutgers University,Department of Electrical and Computer Engineering,Piscataway,NJ,USA

Funder

National Science Foundation

Publisher

IEEE

Reference30 articles.

1. Seventy years of radar and communications: The road from separation to integration;liu;arXiv preprint arXiv 2210 00446,2022

2. Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies

3. Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies

4. Optimized Sensor Selection for Joint Radar-communication Systems

5. Continuous control with deep reinforcement learning;lillicrap;arXiv preprint arXiv 1509 02971,2015

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1. Sparse Array and Precoding Design for Integrated Sensing and Communication Systems;2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM);2024-07-08

2. Joint Antenna Selection and Covariance Matrix Optimization for ISAC Systems;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09

3. Reconfigurable Beamforming for Automotive Radar Sensing and Communication: A Deep Reinforcement Learning Approach;IEEE Journal of Selected Areas in Sensors;2024

4. Deep Sparse Array Design for Integrated Sensing and Communications;2023 IEEE International Radar Conference (RADAR);2023-11-06

5. RIS-aided integrated sensing and communication: a mini-review;Frontiers in Signal Processing;2023-05-05

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