A STUDY ON RADAR SYSTEMS FOR 5G AUTONOMOUS VEHICLES WITH A HYBRID MULTIPLEXING SCHEME

Abstract

Fifth Generation (5G) technology is a growing and rapidly adopted technology that is being used in the majority of unique applications that demand highly dependable, low-latency communications. It can give more coverage, better access, and is ideally suited for high-density networks. With all of these benefits, it is evident that 5G might be utilized to meet the needs of autonomous cars. This work investigates the use of linear frequency modulated continuous wave (FMCW) methods in photonic radar sensors for the exact identification of numerous objects. Our findings unambiguously illustrate the efficacy of the MDM-PDM photonic radar in effectively identifying all four specified objects, highlighting its potential to improve road safety in the context of autonomous cars. Automated vehicles and systems are being developed with the goal of providing a comfortable, safe, and efficient driving experience while lowering the chance of death. However, there have been recent fatalities as a result of these self-driving cars and systems. This is due to a lack of robust state-of-the-art, which requires further improvement. With the introduction of 5G technology and the emergence of autonomous vehicles (AVs), road safety will become more secure, with fewer human errors. However, integration of 5G and AV is still in its early stages, with significant research hurdles that must be addressed.