Security State Estimation Algorithm of Data Transmission Channel in Wireless Communication Network

Abstract

In the scene of high-speed vehicle networking, the full-duplex relay communication C-V2X wireless communication network suffers from strong interference, which leads to poor channel security of communication system and low error rate of communication output. A channel security state estimation algorithm of full-duplex relay communication CV2x wireless communication network in high-speed vehicle networking scene based on linear least mean square error estimation is proposed. The channel model of full-duplex relay communication CV2x wireless communication network in high-speed vehicle networking scene is constructed, and the concept of propagation loss is used to describe the energy loss of relay communication CV2x wireless communication. In each array element, the deep learning network is used to directly perform blind channel equalization on the received data. Under different transmission speeds, the channel gain control model of the full-duplex relay communication C-V2X wireless network in the high-speed vehicle networking scene is constructed with the intensity and propagation time of multipath waves as constraint parameters. The error rate estimation is used to estimate the output state of the communication channel in real time. The simulation results show that the full-duplex relay communication C-V2X wireless data transmission with this method in the high-speed vehicle networking scene has high channel security, low bit error rate and strong anti-interference ability.