Research On Passive Location Method Of Single Moving Station

In recent years,the security situation around China has been severe,and regional disputes in the East China Sea and South China Sea have continued.In the modern situation,there is an increasing need for new passive reconnaissance and positioning technology.To minimize the number of observation platforms and receiver channels,the development of new electronic reconnaissance with high positioning accuracy,small support platform,fast response speed and strong survivability passive positioning technology has become one of the urgent needs and development trends.This idea or method has always been a hot topic of passive location,especially single station passive location.Aiming at the application scenarios of passive localization of fixed radiation sources on the ground and in the sea,this thesis has studied in depth several key technologies of passive positioning based on single moving stations,and has achieved passive localization of fixed radiation sources based on simpler surveillance equipment.First of all,the single station passive location model is defined.Besides,the basic contents such as the theoretical knowledge of spatial coordinate system,the location principle and the target tracking theoretical model applied in the construction of the model are briefly introduced.Moreover,the positioning error based on the phase difference and the phase difference rate of change is analyzed by GDOP simulation.Secondly,a phase difference defuzzification method based on parallel long baseline array is presented.When the target radiation source is continuously observed for a short period of time,the "blurring process" can be used to correct the defuzzification result to improve the success rate.Then,an instantaneous localization algorithm based on iterative method using phase difference rate of change measurements is proposed.Aiming at the passive location application scenarios of fixed radiation sources on the ground and sea surface,the two sets of baselines are used to construct the nonlinear equations,and the Gauss-Newton method is used to solve the target position.Among them,the principle of selecting the initial value and the step size of the iteration is importantly analyzed,so as to weaken the dependence of the iteration method on the initial value and the step size.The algorithm has fast convergence speed and positioning accuracy,which is closed to CRLB.Finally,the direct positioning method of phase difference based on filtering algorithm is studied.The direct location method of phase difference skips the defuzzification process and applies the fuzzy phase difference directly to the location model to complete the position estimation of the target.First,a set of Gaussian Mixture member variables is established using fuzzy phase difference measurements,and then it is filtered and optimized using Kalman filter algorithm to estimate the target position.Among them,the single-baseline system and the multi-baseline system construct Gaussian Mixture members by quantization method and phase error detection method,respectively.What's more,the field test data was applied to the algorithm to verify the positioning performance of the algorithm.