Research On LTE Network Coverage Optimization And Wireless Positioning Algorithm

With the comprehensive development of LTE networks,the problems of network coverage in some areas have become increasingly prominent.For those areas with poor network coverage,the base station antenna parameters have traditionally been adj usted by these experienced engineers to improve their networks.However,such solutions have low efficiency and poor accuracy,which is difficult to meet the requirements of current base station antenna optimization.An efficient,accurate and convenient network coverage optimization method is needed.Moreover,due to the deepening of the coverage of the base station network,with the advantage of base station positioning can better compensate for the fact that GPS cannot be positioned near the obstruction like walls and buildings,Under the premise of a good network coverage environment,the role of LTE networks in positioning is also increasing.This thesis studies the network coverage optimization and wireless location optimization algorithms of LTE system.The main research contents are as follows:(1)For the LTE network coverage problem,firstly,the LTE network coverage optimization problem and method are investigated.Then a genetic algorithm based LTE system network coverage optimization method is proposed.The method is derived from the genetic algorithm,and the genetic algorithm is improved according to the actual antenna condition of the LTE system.We use loop iteration to calculate different schemes generated by genetic algorithm variation,select the best optimization scheme that meets expectations,and then implement the method on the platform,and use the measured data of the existing network to test the effect.Finally,optimize the platform to further Improve calculation efficiency."The algorithm establishes a good network environment basic condition for the subsequent wireless positioning research.(2)For the wireless location problem,the timing advance(TA)and downlink synchronization process in the LTE network are investigated fir-stly.Secondly,the wireless positioning system based on timing advance is designed and implemented.The system mainly includes:simulation of base station distribution and implementation,the TA generation and detection based on downlink synchronization and the 3D TOA positioning for the aircraft positioning scene.Finally,the simulation results are analyzed.(3)In the practice of wireless positioning,since the test terminal can only obtain a single TA at the same time in the actual positioning,in response to this situation,after investigating a variety of positioning signals,a hybrid based on single TA and inertial navigation is proposed.The positioning algorithm obtains the initial motion trajectory by Kalman filtering the positioning results of the two sets of inertial sensors,and then combines the information of timing advance,and continuously uses the reliable positioning result instead of the unreliable positioning result and adjust the positions as a fiusion method to obtain the positioning result.Finally,the positioning algorithm is tested for positioning and its positioning effect is analyzed and evaluated.The above work can provide theoretical and practical reference for LTE system network coverage optimization,and the research method of wireless positioning also has certain reference significance for wireless network based on fusion positioning.