Key Technology And Verification Of Distributed Antenna Location Optimization In Complex Geographical Environment

Distributed MIMO technology can improve the anti-noise and anti-fading performance of the communication system because it makes full use of macro-diversity,and can be applied to communication systems in complex geographical environments such as canyons,hills,remote mountainous areas,and even sea surfaces.Since the spatial correlation of antenna arrays of different shapes is quite different,and the received power of antennas in different geographical locations is also different,so the location of distributed MIMO antenna deployment is the key to affecting the performance of the system.Therefore,this thesis analyzes a system model of distributed MIMO communication for communication channels in complex geographical environments,and optimizes the location of antenna deployment from the perspectives of airspace correlation and geographical location to improve the channel capacity and communication distance of the communication system.The main research content of the thesis is as follows:First,the current research status of channel modeling methods in complex geographical environments and antenna position optimization of distributed MIMO technology is sorted out.The key technology of location optimization of distributed MIMO technology in various application scenarios is analyzed,and a location optimization method for distributed antennas suitable for complex geographical environments is given.According to the channel environment,the performance index needed to evaluate the system is demonstrated in detail.Second,a detailed channel modeling is carried out for a bilateral distributed MIMO channel with multiple antenna clusters and multiple antennas in a complex geographical environment.The channel path loss,Rayleigh fading and spatial correlation are analyzed in detail,and the modeling method and process are given.Third,an 8-transmission and 8-reception MIMO communication system with an unmanned vehicle at both ends of the transmission and reception is designed,and the array shape with better performance on the roof plane with a limited area is studied.The spatial correlation algorithms for uniform linear array,rectangular array and uniform circular array are given.The MIMO ergodic channel capacity and system average BER of the three array shapes are analyzed and compared.The results show that the system has better performance when a rectangular array is used on the roof plane.Fourth,a 16-transmission and 16-reception distributed MIMO communication system with two unmanned vehicles at both ends of the transmission and reception is designed.Under the same communication distance in a complex geographical environment,the deployment position of the distributed antenna that minimizes the propagation path loss is studied.The process of obtaining irregular terrain profile from SRTM data and the method of calculating irregular parameters according to elevation points and other information are given.Through computer simulation,when the terrain profile is the smallest,this profile is considered to be the best profile,and the antenna is deployed on this profile,and the path loss between transceivers is the smallest.Finally,the ergodic channel capacity and average BER of the distributed MIMO system on the terrain profile are analyzed.This thesis provides theoretical support and ideas for channel modeling and distributed antenna location optimization of distributed MIMO systems in complex geographical environments.The research results have been verified by simulation and have theoretical significance and practical value.