| With the rise of the Internet economy,the advancement of the electronic semiconductor industry,and the rapid adoption of smart phones,the mobile communications industry has ushered in an unprecedented development.In 2014,the 3GPP standardization organization launched the Long Term Evolution project in Canada.The LTE mobile communication network,with its high speed,low latency,etc.,has promoted the consumption structure towards the direction of broadband and mobility.In the "Internet +" innovation economy,LTE networks play a vital role.LTE,as the latest commercial mobile communication network,has a high penetration rate and a large number of users.It is important to study a communication control system that interrupts or protects certain mobile terminal communication in special occasions,such as confidential meeting rooms,archives,examination rooms,etc.This article aims to study a communication control system for LTE networks,study and design baseband optimization algorithms and identity information detection solutions,and form a set of systems with the function of distinguishing identity and high efficiency.At present,the research on LTE control system mainly focuses on the analysis of protocol stack and signaling flow,and rarely considers the optimization of baseband algorithms for efficiency and control system.This article focuses on improving signal detection efficiency,reducing parameter estimation complexity,and enhancing system stability.At the same time,solutions are given to some problems in the implementation process.The main research content includes:First,this thesis analyzes and contrasts the existing LTE control system,and analyzes the key factors of the control scheme.Then the research focus on key factors,explore improved algorithms and control optimization solutions,and finally analyze the workflow of this article's management and control system in detail.Second,this thesis studies signal detection,parameter estimation and system stability.This study proposes antenna port number detection algorithm based on channel estimation and primary synchronization fast correlation algorithm with the method of combining overlapping and section,and carry on algorithm derivation and simulation analysis.The baseband optimization algorithm given in this thesis mainly solves the problem that large amount of computation when synchronizing correlation calculations and blind detection,frequency offset and noise with greater impact in antenna detection can cause delays to increase.And its purpose is to improve the signal detection efficiency and reduce the complexity of the antenna port detection.At the same time,this thesis presents the IMSI acquisition method,combined with the TMSI,to form a complete identity information acquisition program to improve the effectiveness and stability of the management and control system.Finally,this thesis test and verify the optimization algorithm and scheme proposed in this thesis.Gather real air interface data through software radio platform,compare engineering machine and drive test software display information,and give final control results to verify the correctness and feasibility of the optimization algorithm and the entire control system. |
