Ads-b data filtering method, device, computer equipment and storage medium

Abstract

The application provides a filtering method, device, computer equipment and storage medium for ADS-B data, which relate to the field of aviation technology and are used for filtering ADS-B data to remove noise in the ADS-B data. The method mainly includes: acquiring the observed Gaussian distribution of the ADS-B data at the current moment and the predicted Gaussian distribution of the ADS-B data, and a process error matrix Q, the observed Gaussian distribution includes a covariance matrix R, and the predicted Gaussian distribution includes a covariance matrix R. variance matrix P; add the covariance matrix P in the predicted Gaussian distribution to the process error matrix Q; fuse the observed Gaussian distribution and the predicted Gaussian distribution of the process error matrix Q to obtain The calibration Gaussian distribution at the current moment; the observed Gaussian distribution of the ADS-B data at the current moment is updated 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 Fits the predicted Gaussian distribution.

Description

technical field [0001] The present application relates to the field of aviation technology, and in particular, to a filtering method, device, computer equipment and storage medium for ADS-B data. Background technique [0002] ADS-B stands for Automatic Dependent Surveillance System-Broadcast. It is an information system that integrates communication and surveillance. It supports the advantages of data sharing and aerial surveillance. It is a key component of the next-generation air transportation system. The ADS-B system on the airborne aircraft can periodically broadcast the satellite-based aircraft position and flight identification information. 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 has enhanced and expanded very rich functions for the new navigation system, and also brought potential economic and social benefits. [0003] But since ADS-B data is t...

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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