Application of Real-time Data Processing Method Based on Information Fusion
Abstract：This paper takes raise the data processing effect based on engineering application of command and control data processing systern (DPS), it researches the current data processing method and designs an improvement real-time data processing system. The system applies multi-sensor data fusion (MSDF) technique, multi-target tracking technique and Kalman Filter method in the DPS. It solves the prohlems that result in of the sail vestige disorder of phenomenon multi sensor more to follow same target because of multi sensor accuracy and data sample rate dissimilarity. It solves the problems of airplanes to organize into teams a take-off, greatly the area be mobile, the airplanes organize into teams and cross flights, situation comprehensive, command and control, real-time measure and control leading etc. The contents of applied system includes system structure and data process method, multi-sensor data fusion model, variety filtering algorithm, real-timedata imitate and actual system application.
Keywords：information fusioncommand and controldata processingapplication systems
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 50-52,97 )