The Research On Track Information Fusion For Multi-mode Compound Guidance Technique

With the development of electronic technology,the modern battlefield environment is becoming increasingly complex.Due to its own limitations and shortcomings,single-mode guidance and detection equipment has been unable to meet the operational requirements of the modern battlefield environment.The combat effectiveness in the interference environment has gradually decreased.Multi-mode composite guidance information fusion technology followed,which took advantage of multiple sensors and adopted complementary approaches to improve the guidance performance of the guidance system in a complex interference battlefield environment and enhance the target detection and tracking capabilities of the guidance equipment.The combat effectiveness was significantly better than the single-mode guidance equipment.This paper studies the information fusion technology of multi-mode composite navigation track information.With laser / radar / infrared three-mode composite guidance as the research background,it analyzes and researches track formation,track association,and track fusion.Based on this,a set of information fusion processing system with laser / radar / infrared three-mode composite guidance as the application background is designed using related algorithms,and tests the performance of the information fusion system under the interference background environment through computer simulation.The detailed work is as follows:Firstly,the article briefly discusses the basic theoretical knowledge of information fusion.The working principle of information fusion technology is introduced,the information fusion system is classified,and the detection-level,position-level and attribute-level information fusion system structure is described in detail.Based on this,according to the research background of this paper,a distributed common platform three-mode composite guidance information fusion processing scheme is designed.Secondly,the single-sensor multi-target track formation is researched,and the main contents are data correlation,tracking filtering and track management.Among them,data association is the most important part of track formation.The types and selection methods of tracking gates during data association are studied.Two typical data association algorithms are analyzed.The typical Kalman filtering algorithm in tracking filtering algorithm is analyzed.The track management rules can effectively manage the track,and the logic management and scoring methods of the track management rules are analyzed.Thirdly,the track fusion algorithm is studied,including space-time registration,track correlation and track fusion.Space-time registration and track association are preparations for track fusion.The time and space alignment methods in the context of a common platform are analyzed.The weighted track association algorithm and the sequential track association algorithm are analyzed.A novel two-stage real-time track association algorithm based on grey correlation is proposed using the overall situation and local characteristics of the track.The performance of several track association algorithms was compared through simulation experiments.Track fusion is the fusion processing of associated track pairs.This paper describes two common track fusion methods in detail.Finally,an information fusion processing system is designed.The main contents are the work mode division and workflow of the information fusion system,the collaborative processing scheme of track information fusion,and the simulation test of system performance.According to the characteristics of each working phase of the information fusion system,the working modes and workflows of each phase are described in detail.Based on the information fusion algorithm and the research background of this paper,the track information fusion processing is analyzed,and a collaborative search method during searching and a track information fusion processing strategy during tracking are designed.An information fusion system was established by computer simulation,and the performance of the system in an interference environment was tested to verify the effectiveness of the designed information fusion processing system.