Threshold-Based Vehicle Detection Method for Distributed ISAC-Enabled V2X Networks

초록

In this paper, a threshold-based vehicle detection method is proposed for decentralized integrated sensing and communication-enabled vehicle-to-everything networks. In the proposed detection method, a roadside unit (RSU) detects the vehicle by comparing a predetermined threshold with the energy of echo signals generated during communication between the neighboring RSU and the vehicle, i.e., passive sensing, To determine the detection threshold for reliable vehicle detection, closed-form expressions for detection and false-alarm rate φare derived. The numerical results validate the accuracy of 4ben analytical expressions derived and demonstrate that reliabje vehicle detection can be achieved by selecting an appropriate, detection threshold.

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