Performance Analysis And Verification Platform Development For Multipoint Cooperative Sensing In Joint Communication And Sensing System Based On OFDM Communication Signal

To overcome the bottleneck of single vehicle perception capability of autonomous vehicle and avoid potential mutual interference in the frequency bands of communication and radar,as one of the potential Beyond Fifth Generation(B5G)/6G wireless communication technologies,joint communication and sensing(JCS)can support efficient sharing of original perception data between connected autonomous vehicles(CAVS)in the millimeter wave band,and improve the perception accuracy of single vehicles and ensure the safety of automatic driving scenes.This thesis mainly studies the multi-point cooperative sensing system of the JCS system based on orthogonal frequency division multiplexing(OFDM)communication signals.First,it analyzes,compares and tests the integrated system sensing performance of multiple OFDM communication signals based on the 5G NR standard,further designs the multi-integrated node cooperative sensing algorithm,and develops the cooperative sensing platform based on the synaesthesia integrated system to verify the effectiveness of the proposed cooperative sensing architecture.The core contributions of this thesis can be divided into the following points:,However,there is still a large gap between the root-mean-square error of 0.4m that can be achieved by occupying the PDSCH communication data bit signal for perceptual data filling.(2)For the automatic driving scenario,a multi-point joint sensing architecture is designed based on the synaesthesia integration system,and a joint sensing algorithm based on the original data point density of the sensing target is proposed.Further,based on the 28 GHz millimeter wave communication transceiver,the hardware experimental platform of multi-point cooperative sensing is designed and developed,and the designed architecture is tested and verified by two sets of integrated systems.The test results show that compared with the sensing performance of a single integrated system,the cooperative sensing system implemented by two integrated experimental platforms can reduce the root mean square error of positioning by 31%on average,with a minimum of 0.2m,at the 16 points tested.Finally,this thesis puts forward the thinking of the optimization direction of the existing integrated multi-point collaborative awareness verification platform and the outlook for the integrated joint networking design.