Collection, analysis and display of civil aviation data based on Spark

Abstract

This paper studies the monitoring of ADS-B signals based on spectrum and signal decoding. Firstly, one receiver is used to collect 1089.5MHz -1090.5MHz spectrum data, and the other is used to decode ADS-B (Automatic Dependent Surveillance-Broadcast) radio signal to obtain aircraft flight height, position, speed and other data; Secondly, store the data in the database and perform k-means clustering on the ADS-B spectrum data to determine whether there is a signal, and display the flight trajectory on the ArcGIS Map. Finally, a spark experimental system was built to demonstrate the above process. The flight data of the domestic Ctrip website was crawled for statistical analysis. The system has functions such as three-dimensional flight display, real-time trajectory tracking, and signal detection.