Research And Implementation Of Distributed Positioning Technology For Electromagnetic Target

Passive positioning of electromagnetic targets plays an irreplaceable role in civil fields such as disaster rescue and field rescue,and military fields such as electronic countermeasures.Due to the small positioning error and high real-time performance,the distributed passive positioning system based on time difference of arrival has been Extensive research.my country developed related research late,and the implementation of the existing distributed passive positioning system is mostly classical parameter estimation and positioning solution algorithm,which has low positioning accuracy of the signal source,so the realization of the positioning system researching better algorithms has its own important meaning.According to this requirement,this paper uses the parameter estimation algorithm and positioning solution algorithm with higher estimation accuracy to carry out a relatively complete realization research on the distributed passive positioning system,including the overall scheme of the distributed passive positioning system,the overall The two parts of the algorithm corresponding to the scheme are studied and simulated,the positioning system is implemented,the system is measured from the station layout and baseline length,and the error analysis is carried out.The analysis shows that the system built in this paper can provide better positioning.precision.The main work of this paper includes:1.Starting from the processing link of the transmitted signal of the signal source,the basic theory of the positioning system is given,including the parameter estimation theory and the positioning solution theory,and the evaluation index of the passive positioning system is deduced and analyzed.2.The overall scheme of the distributed passive positioning system based on Time Difference of Arrival(TDOA)is proposed,and the core functions of each link are described,including the core functions of the receiver hardware platform and the core functions of the algorithm in the software design.The algorithm in software design is studied from two aspects: parameter estimation,generalized cross-correlation algorithm is studied,different weighting functions are simulated and compared,and a superresolution estimation method is combined,and the simulation shows the combined algorithm It can obtain higher parameter estimation accuracy in actual scenarios;in terms of positioning solution,a variety of positioning solution algorithms have been studied,including hyperbolic method,Taylor series method,Chan's two-step weighting method,and advanced two-step weighting method,and a simulation analysis was carried out.3.Implemented the distributed passive positioning system,including using the hardware receiver to build the positioning system and the realization of the host computer software: the receiver hardware platform,expounds the receiver principle and uses it to build the positioning system;the host computer In terms of software design,the software design of three links is given,including signal acquisition module,parameter estimation module and position calculation module,which realizes the entire distributed passive positioning system from signal acquisition to parameter estimation and finally to position calculation.4.The built distributed passive positioning system is measured.The distributed passive positioning system is measured from the two aspects of station layout and baseline length,and the errors existing in each link of the distributed passive positioning system are analyzed.Considering the system error,the measured results are analyzed and obtained in conclusion.