Research On Estimation And Equalization Of Anti-jamming Channel In 5G Communication System

With the development of 5G mobile communication,researchers pay more attention to the timeliness and accuracy of signal transmission.This paper combines the key technologies of 5G mobile existing communication technology,and provides some optimization suggestions for channel anti-interference technology,channel estimation technology and channel equalization technology for research reference.The application of MIMO technology,one of the key technologies of 5G,doubles the system capacity and effectively suppresses channel fading.The use of MIMO technology in conjunction with OFDM system is beneficial to eliminate inter-symbol interference and improve spectrum utilization.The problem of interference in wireless channels has always been a core concern.In wireless communication,due to the complexity of the propagation environment,the Doppler effect and delay of the signal are expanded,and these fading channels will bring inter-symbol interference to the signal.Multi-antenna technology and single-cell scenarios in MIMO OFDM uplink wireless communication systems are also facing interference problems.In the MIMO OFDM uplink single cell system,the estimation method is deeply studied.In the MIMO OFDM channel,non-blind channel estimation is introduced,and the pilot method is used to improve the estimation accuracy of the channel.An improved LMMSE estimation algorithm is proposed under the traditional LS estimation algorithm,MMSE estimation algorithm and LMMSE estimation algorithm to realize a channel estimation method with high estimation accuracy and acceptable algorithm complexity.The estimation algorithm is interpolated with the interpolation algorithm.Combined to improve channel estimation performance.Finally,the equalization method of MIMO OFDM channel is deeply studied.The selection of the step factor ? of the LMS adaptive equalization algorithm has an effect on the convergence speed and steady-state error of the adaptive filter.Therefore,an improvement of the equalization algorithm is proposed.The equalization algorithm based on wavelet transform and the variable step size equalization algorithm are proposed.Combined with a new equalization algorithm,signal correlation can be reduced,signal convergence speed can be improved,and steady-state error can be reduced.