Implementation Of Multi-Target Identity Recognition And Passive Localization System Based On Multi-Sensor Direction-Finding Data

In modern electronic warfare,battlefield intelligence reconnaissance and threat target localization are important tasks for military commanders to dispatch troops and March.At present,most of the target localization tasks are to locate single targets by artificial selection of direction finding lines,whose accuracy depends on artificial experience,so the positioning accuracy cannot be guaranteed,and the detected direction-finding data cannot be fully utilized.At present,although some filtering algorithms with high location accuracy have been proposed,the algorithm complexity or stability is hard to meet the engineering requirements.Therefore,how to improve the stability and accuracy of the localization algorithm to meet the requirements of engineering,and to realize the automatic multi-target recognition and target localization through an effective multi-objective identity algorithm is the main content of this paper.Based on the UAV comprehensive intelligence rapid processing system project of a military research institute,this paper studies and realizes multi-target identity recognition and passive localization technology for multi-sensor direction-finding data.In intelligence processing projects,the main work of this paper is as follows:Firstly,for the model of single stationary target bearing-crossing location for single station,the initial value selection of passive bearing-crossing localization based on Newton iteration is improved in this paper.The simulation and analysis are carried out through the measured data and compared with the common direction-finding location algorithm.The results show that the positioning accuracy and stability are better,and all meet the technical requirements of the system.Secondly,for the model of a single station for multiple stationary targets,a multitarget identity recognition algorithm based on DBSCAN is proposed in this paper.The algorithm uses the direction-finding line as a benchmark to cluster,and combines localization algorithm to fuse the direction-finding line.The algorithm ensures that neither the distance between the two batches of the same target can be divided into two categories,but also avoids the clustering of two targets as a distance.Through the simulation and analysis of the measured data,the target recognition rate and noise removal rate are better,which is in line with the technical requirements of the system.Thirdly,this paper completes the engineering realization of passive location system.According to the needs,we design the overall architecture,interface and database of the system,build the system interface and complete the algorithm transplant.Then the software is tested,and the passive localization system is embedded into the intelligence processing project.The core function of the passive localization system software is tested through the measurement data,which proves the effectiveness and stability of the core function of the software.Its core functions meet functional requirements,and all technical indicators meet the requirements.