ADS-B data filtering method and device, computer device and storage medium

Abstract

The invention provides an ADS-B data filtering method and device, a computer device and a storage medium, relates to the technical field of aviation. The method is used for filtering ADS-B data and removing noise in the ADS-B data. The method mainly comprises: obtaining observation Gaussian distribution of ADS-B data at the current moment, prediction Gaussian distribution of the ADS-B data and a process error matrix Q, the observation Gaussian distribution comprising a covariance matrix R, and the prediction Gaussian distribution comprising a covariance matrix P; adding the covariance matrix P in the prediction Gaussian distribution to the process error matrix Q; fusing the observation Gaussian distribution and the prediction Gaussian distribution added with the process error matrix Q to obtain calibration Gaussian distribution at the current moment; updating the observation Gaussian distribution of the ADS-B data at the current moment according to the calibration Gaussian distribution at the current moment; wherein the observed latitude and longitude coordinates conform to the observed Gaussian distribution, and the predicted state vector conform to the predicted Gaussian distribution.

Description

technical field [0001] The present application relates to the field of aviation technology, and in particular to an ADS-B data filtering method, device, computer equipment and storage medium. Background technique [0002] ADS-B, Automatic Dependent Surveillance System-Broadcast, is an information system that integrates communication and surveillance, supports data sharing and aerial surveillance, and is a key component of the next-generation air transportation system. The ADS-B system on the airborne aircraft can periodically broadcast satellite-based aircraft position and flight identification information, and the ADS-B receiver combines with the air traffic control system and the airborne ADS-B of other aircraft to provide accurate and real-time conflict information. It enhances and expands very rich functions for the new navigation system, and also brings potential economic and social benefits. [0003] But because ADS-B data is transmitted at a frequency of once every h...

AI Technical Summary

Problems solved by technology

Due to the above-mentioned reception limitation problem, in the actual operating environment, the received ADS-B data will encounter data anomalies, such as position drift, time stamp error, data loss and data interruption.

[0004] At present, the ADS-B data processing method is mainly based on the data standards of aircraft flight, and directly filters the data exceeding the aircraft flight standard. For example, the flight speed of civil aviation aircraft will not exceed 1000 km / h. The abnormal data in this range is directly filtered. Although this method of data cleaning and filtering based on aircraft flight standards is simple, it will filter out flight data in abnormal flight states, which is not conducive to the identification and capture of abnormal states during aircraft flight.

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