Signal Quality Analysis Method of Glide Platform Based on Multi-source Data Fusion
In recent years,aviation safety is particularly important for the development of China's civil aviation.In some large and busy operations,there are unstable glide signals,which even lead to unsafe events such as the suspension of approach or go-around.Traditional tracing and cause analysis methods of unsafe events have the disadvantages of long investigation time and low efficiency,which bring huge risks and threats to safe operation of airports.ADS-B data,secondary radar station data and QAR data all contain rich data content.This paper adopts the multi-source flight data fusion technology to process and analyze the actual flight altitude data of flights,and visually displays the signal quality of glide platform in the curve form of the glide slope structure to realize signal quality analysis of airport glide platform,so as to provide reference for cause analysis of unsafe events caused by unstable glide platform signal.