Improve Radar Sensing Performance of Multiple Roadside Units Cooperation via Space Registration
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Abstract (arXiv)
Roadside units (RSUs) can help vehicles sense the traffic environment, so as to improve traffic safety. Since the sensing capability of single RSU is limited, we propose a multiple RSUs cooperative radar sensing network (RSU-CRSN) with signal-level fusion technique. Spatial registration is an essential prerequisite and foundation for RSU-CRSN with signal-level fusion. In this paper, we present an adjustable beam enabled spatial registration algorithm (AB-SRA) that makes the sensing area of each RSU coincide by adjusting the sensing beam width of RSU. To adjust the width of sensing beam flexibly, a beamwidth adjustable beamforming algorithm (BABA) is proposed in this paper. Simulation results show that the performance of AB-SRA is close to perfect spatial registration.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Jun 2022.
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Citing papers per year: 2022: 1; 2023: 2.
3 papers.
- 2022Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AIcited by 33
- 2023Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Reviewcited by 22
- 2023ISAC-NET: Model-driven Deep Learning for Integrated Passive Sensing and Communicationcited by 3
- 2023Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review8 Dec 2023
- 2023ISAC-NET: Model-driven Deep Learning for Integrated Passive Sensing and Communication14 Jul 2023
- 2022Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI3 Jul 2022