Research On Large Scale MIMO Detection Algorithm

At present,with the rapid development of mobile communication technology,4G technology has been widely used,and 5g technology has gradually come to the ground.Among them,as one of the basic technologies of mobile communication,the application of large-scale mass MIMO technology(MIMO)shows some advantages in data transmission rate and reliability improvement,which has become the basic technology of mobile communication market.However,in the application of large-scale MIMO technology,a large number of antennas need to be deployed in the base station,which leads to an increase in the complexity of signal processing transactions at the receiving end,which is the main problem that the technology needs to face in the application.Therefore,it is of great significance to improve the accuracy and performance of largescale MIMO signal detection algorithm.In this paper,the signal detection algorithm of large-scale Momi is studied as follows:Firstly,this paper studies the algorithms used in large-scale MIMO signal detection,including linear algorithm and nonlinear algorithm.The simulation results show that the linear signal detection algorithm has high efficiency,while the nonlinear signal detection algorithm has high accuracy.In practical application,we need to balance the performance and efficiency of the algorithm,so we think that we need to reduce the complexity of the algorithm and improve the performance of the algorithm while maintaining the accuracy of the nonlinear algorithm.Secondly,in order to improve the efficiency of the continuous interference cancellation algorithm and the maximum ratio combination(MRC)signal detection algorithm,this paper proposes the mrc-so-sic algorithm to reduce the complexity of MRC algorithm and improve the accuracy of signal detection.Thirdly,in order to improve the performance of zf-sic algorithm,based on Lanczos algorithm,this paper uses the advantages of the algorithm in large-scale matrix solution method,reduces the complexity of the algorithm,and improves the accuracy of signal detection.Through the simulation research,the performance and accuracy of the optimized algorithm and the traditional algorithm are compared and analyzed to verify the effectiveness of the algorithm optimization in this paper.In this paper,through the research and Simulation of the current large-scale MIMO,the efficiency of the continuous interference cancellation algorithm and the maximum ratio combination(MRC)signal detection algorithm is improved,and the Lanczos algorithm is used to reduce the complexity of the algorithm,improve the accuracy of signal detection,verify the effectiveness of the algorithm,and improve the large-scale MIMO signal The accuracy of detection algorithm and the reduction of algorithm complexity have certain reference value.