Passive Location Method Of Communication Radiation Source Based On Multi-station TDOA/FDOA

Passive positioning means that the detection station itself does not actively send signals,only by passively receiving the signal of the target communication radiation source,and using the relevant parameter information obtained from it,it can reverse the position of the target.With the wide application of digital information technology in military,electronic warfare has become a new mode of operation,in which the passive location of the target of communication radiation source by using various detection equipment is an important part of electronic countermeasures.At the same time,with the advent of the Internet of everything era,the number of communication radiation sources will increase sharply,and the user-oriented precision positioning service will also usher in a large demand,so it is of great significance to study the passive positioning method of communication radiation sources.Considering passive location of motion communication radiation source in complex environment,closed solution method is sensitive to measurement noise in time-frequency difference model,and has large root mean square error of location.In order to improve the location performance under large observation errors,this paper proposes a hybrid location method combining analytical method and intelligent optimization algorithm,namely weighted least squares combined genetic algorithm recursive TDOA/FDOA location method,and analyzes the location performance of this method for non-cooperative motion communication radiation sources in complex environments.The main contents of this paper are:1.Based on the relationship between the detection station and the non-cooperative communication radiation source in the passive positioning system,this paper introduces the basic theory and method of passive positioning technology,builds a mathematical model,briefly analyzes the respective characteristics,and leads out the positioning system adopted in this paper;For the relationship between detection station and detection station in passive positioning system,the basic method of time calibration is introduced.According to the advantages and disadvantages of passive location method,three performance indexes are analyzed.2.Aiming at the problem of insufficient anti-noise performance of analytic method in positioning algorithm,this paper proposes a recursive hybrid positioning method based on the combination of analytic method and optimization algorithm of TDOA/FDOAmodel.First,a large number of time-frequency difference data are observed by known stations,and the error model is analyzed and established.Based on the model,the data of multiple groups of time-frequency difference sequences obtained during passive positioning are processed to ensure the reliability of time-frequency difference observations.Then the weighted least squares algorithm is used to solve the initial value of the target position.Secondly,based on the initial value,the improved genetic algorithm is used to solve the position coordinates iteratively and recursively through multiple sets of time-frequency difference sequences.Finally,position estimation results and FDOA model are used to estimate the velocity of the motion communication radiation source.In this paper,through Monte Carlo simulation experiments,the near field and far field passive location of non-cooperative target communication radiation sources are completed,and the positioning performance under different noise sizes is analyzed.3.Apply the algorithm proposed in this paper to complete relevant simulation experiments.Firstly,the track of the non-cooperative motion communication radiation source is monitored,and the positioning performance of the proposed algorithm and the two-step weighted least square method is compared and analyzed.Then,the influence of different stationing methods on passive location performance is explored.Secondly,regarding the influence of the number of detection stations on the passive positioning accuracy,five detection stations and six detection stations are used to locate the same target under the same noise level,and the results are analyzed.Finally,the influence of the geometric relationship between the non-cooperative target communication radiation source and the detection station on passive location is discussed.The results show that the recursive hybrid TDOA/FDOA positioning method based on weighted least squares combined genetic algorithm can effectively adapt to large measurement noise,improve positioning accuracy,and converge faster than other hybrid positioning algorithms,which can effectively reduce the calculation amount.At the same time,it is proved that the geometric relationship between the target communication radiation source and the detection station and the number of detection stations are important factors affecting the passive location accuracy.