Open AccessA multi-sensors pure azimuth data fusion method
Author(s) -
Richeng Guo,
Ying Wang,
Chunyan Lan,
Boran Xu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1617/1/012023
Subject(s) - azimuth , computer science , interference (communication) , focus (optics) , sensor fusion , tracking (education) , interpolation (computer graphics) , real time computing , remote sensing , fusion , artificial intelligence , computer vision , data mining , telecommunications , geography , mathematics , motion (physics) , physics , psychology , pedagogy , channel (broadcasting) , geometry , philosophy , optics , linguistics
Passive detection sensors have the advantages of good concealment, strong viability, strong resistance to electronic interference, wide coverage of airspace, and stronger detection capabilities for low-altitude targets than active detection sensors, and farther detection distances. It has caused more and more research and application attention in various fields. However, passive detection sensors mainly obtain azimuth information, no stable distance information, and stable tracking of only azimuth targets has many uncertainties. In recent years, how to integrate effective and stable passive detection data has become the focus of scholars research and the difficulty of urgent breakthrough. This article proposes a method of fusion of pure azimuth data for systems with multi-source detection sensors, through the filtering of “modified extreme coordinates ”based on the measurement results of each sensor, “based on the Lagrange daily linear interpolation method” time allocation, “m/n logic-based” track association and fusion, obtain more accuracy and track more stable direction measurement results, and improve the comprehensive capabilities of the multi-source detection sensor system.