Radar communication for interference reduction in automotive applications

The increment in demand of transportation system leads to increase number of vehicles and hence traffic congestion and accidents also increase.Information sharing among vehicles is crucial in decreasing the accidents and it makes the transportation system safe and fast.Automotive radars are introduced to the driving system and uses for detection of other targets around.By considering the ability to extract both position and velocity of targets from reflected signals, we use FMCW radar.However, if more than one FMCW radars transmit at a time or within the vulnerable period, mutual interference of signals happen.Mutual interference causes to increase noise floor of the received signals and affects the detection system outcome.Hence mutual interference leads to increase both probability of mis-detection and the probability of ghost target detection.To mitigate the effect of signal interference, we use RadCom system that combines both features of radar and communication systems.Radar and communication signals are multiplexed in frequency and a separate frequency band is allocated for each system.The communication system uses to control the MAC by scheduling the time slots for radar signal transmissions.In addition, we CSMA for MAC control of the communication channel among different vehicles.Under CSMA, one-persistent with backoff and p-persistent without backoff are simulated and compared concerning the time required for communication contention.We use the probability of target mis-detection and probability of ghost target detection as performance measurement parameters.