Research On Passive Location Technology Of Phase Difference Rate Of Moving Airborne Platform

With the rapid development of modern electronic technology,the field of international electronic warfare has also been constantly upgraded,and traditional active radars are prone to expose their own state,thus bringing about a series of strategic problems;passive radar has strong concealment,long-range effect and survivability.A variety of single-station passive positioning technology has set off an extensive research boom.Passive positioning technology has a strong application prospect in the air and sea areas.This paper studies the single-station passive location algorithm with phase difference change rate,which has the advantages of good maneuverability,fast convergence and high positioning accuracy.This paper mainly studies the phase difference and the change rate in single-station passive positioning principle,and analyzes the interferometer erection method and derivates the positioning formula,and then shows the simulation model positioning effect.The paper also analyzes the influence of parameter error on positioning accuracy in detail and effectively guides the engineering practice to improve the parameters to optimize the positioning relationship.The phase difference measurement principle is given from the perspective of engineering practice.Two methods of phase difference solution are analyzed in detail.In the process,we find that there exists over-range phase solution when we use residues definite to solve phase ambiguity,so we propose a method that the phase ambiguity can be solved by estimating the pulse signal arrival time combined with the remainder theorem.The simulation result shows that the phase ambiguity range has a great expansion by using this method.The input data of a Single Observer Passive Positioning System are phase difference and changing rate of phase difference,and only phase difference is directly measured in the measurement process.In the paper,two methods for extracting the change rate of phase difference are studied in depth,and their effects are simulated and compared.Finally,the localization filtering is studied in depth.The main experiments are effective localization filtering algorithms such as kalman series,particle series and quantum.Based on the characteristics of this subject background,the paper gives the MVEKF and quantum genetic algorithms in detail,analyzes their respective advantages,disadvantages and improvement points,and optimizes them.In order to solve the problem of initial value and covariance matching in MVEKF,a QGA-MVEKF filtering algorithm is proposed.By using the strong searching ability of quantum genetic algorithm,the initial data of the system is searched.A large number of experimental results show that the quantum genetic algorithm error is in a certain range,which make up for the lack of MVEKF well,and has many advantages in engineering applications.