Research On Hybrid Carrier Equalization Technology In Internet Of Vehicles

The Internet of Things technology has promoted the third wave of global information industrialization.With the combination of a new generation of intelligent equipment and communication technology,the Internet of Vehicles realizes the interaction between vehicles and vehicles,vehicles and roads,and vehicles and clouds.Among them,V2 V communication is an insurmountable stage in the gradual development of Internet of Vehicles.The channel of V2 V communication is time-varying,and at the same time,the high-speed movement of the vehicle will produce the Doppler effect,which will affect the normal signal transmission.Because vehicle communication occurs between high-rise buildings and various buildings,it causes frequency selective fading of signals.In view of the above communication scenarios,this paper proposes technical means suitable for V2 V communication by studying wireless channel cooperative communication and adaptive equalization technology.The main contents and innovative contributions are as follows: 1.Fading wireless channel,V2 V cooperative communication model.This paper considers the use of cooperative diversity to combat the fading problems caused by urban complex channels;at the same time,different relay transmission protocols are adopted for different scenarios to improve communication quality.2.Equalization technology in collaborative communications.Because the V2 V cooperative communication system is affected by channel fading,an equalizer is needed to eliminate ISI caused by multipath fading.In the process of equalization algorithm research,different equalization algorithms are used to simulate under the single-carrier V2 V cooperative communication model.Based on different channel scenarios,the LMS algorithm has the ability to track channels and can better apply time-varying channels Scenes.In V2 V cooperative communication,the channel time becomes too fast,and the convergence speed of the traditional LMS algorithm is too slow.The research shows that the step size and steady-state error affect the convergence performance of the LMS algorithm.Based on the iterative optimization of the swarm intelligence algorithm and the global convergence of the LMS algorithm,the improvement is obtained.Compared with the traditional LMS algorithm,the improved algorithm has Faster convergence speed can achieve convergence under the condition of less training data.3.Introducing OFDM technology into V2 V cooperative communication,using the good anti-frequency selective fading characteristics of OFDM,the channel model of V2 V cooperative communication under OFDM system is built,and the improved algorithm is simulated on this model.For the current OFDMA system,a V2 V simulation model is built and compared with the improved LMS algorithm.The simulation results show that the proposed algorithm achieves better bit error rate performance on OFDM and OFDMA systems.