Performance Evaluation of Radar and Communication Integrated System for Autonomous Driving Vehicles

Timely efficient sensor information sharing among different autonomous driving vehicles (ADVs) is crucial to guarantee the safety of ADVs. The radar and communication integrated system (RCIS) can overcome the time consuming problems of data format transfer and complex data fusion across multiple sensors in ADVs. This paper designs a SG New Radio frame structure based RCIS by sharing the same hardware equipments to realize both radar and communication functions. An integrated waveform enabled smart time and frequency resource filling (STFRF) algorithm is proposed to realize a flexible time and frequency resources sharing and utilization. Field test results verify that the proposed STFRF algorithm for RCIS can achieve an acceptable target detection performance of 0.189 m average position error within a distance of 10 m, as well as a stable data rate of 2.86 Gbps for communication system in a 28 GHz millimeter wave frequency band enabled ADV scenario.