Research And Implementation Of Multi Station Passive TDOA Location Algorithm

With the extensive application of electronic information equipment in the battlefield,the struggle of the electromagnetic space is becoming more and more fierce.The master of the initiative is the first factor,fast and accurate grasp of the location of the radiation source information.With the high positioning accuracy and fast positioning speed,the passive TDOA multi station cooperative positioning technology is becoming more and more popular.However,China's related research carried out later,and the commonly used TDOA location algorithms such as Chan algorithm,Taylor series expansion method and so on have limitations in their use.In addition,there is no relevant time difference positioning system in China,so the research on time difference positioning system is imminent.According to the actual needs of the project,this paper designs and implements the software engineering of time difference positioning system:Firstly,based on the basic principle of time difference localization,the advantages and disadvantages of Chan algorithm,Taylor series expansion method and particle swarm optimization algorithm are analyzed,and a feasible improved algorithm is proposed.The positioning accuracy is the main factor to measure the positioning performance.Therefore,this paper analyzes the influence of the influence factors on the positioning accuracy in detail from several factors that affect the positioning accuracy.This paper analyzes the commonly used Kalman filter,extended Kalman filter and the rise of particle filter in recent years and uses Matlab simulation to verify the performance of the three filters.Then,the author introduces the general framework of the time difference positioning system and the hardware platform.According to the requirements of the project,I completed the design of the PC interface control interface design,communication module design and positioning solution of the time difference positioning system,and analyzed the part of the design of the positioning solution method in detail.Finally,I demonstrated the simulation results of Matlab-related algorithms and the testing process of the system.Matlab simulation of the relevant algorithms include: four positioning methods performance comparison,positioning accuracy analysis of factors,three filter performanceanalysis,system testing,including: PC software and algorithm program.According to the software simulation and system test,the final conclusion is obtained and the system performance is verified.