Rough set theory-based civil aviation radio interference prediction method

Abstract

The invention discloses a rough set theory-based civil aviation radio interference prediction method. The method comprises the following steps of: firstly carrying out attribute classification on civil aviation radio interference report data, extracting attributes associated with an interfered process, determining a condition attribute set and a decision attribute, and establishing an interference data decision table; carrying out data pre-processing on each attribute value contained in the interface data decision table, and carrying out attribute reduction and attribute value reduction on the pre-processing result by adoption of a special reduction method which is designed on the basis of a database, thereby obtaining an interference decision rule table; and finally solving an influence degree table indicating influences, on the decision attribute, of a condition attribute value by utilizing a credibility function, and carrying out operation state diagnosis on the interference report data by utilizing the decision rule table and the influence degree table, thereby obtaining interference pre-warning values of regions contained in the data. The accuracy degree of the prediction result of the method is higher than the accuracy degree of the prediction result of a time series-based prediction method; and the method is independent of assumed conditions and has no requirements for accurate data.

Description

technical field

[0001] The invention belongs to the technical field of data mining and civil aviation radio interference analysis, in particular to a civil aviation radio interference prediction method based on rough set theory. Background technique

[0002] With the rapid development of the civil aviation industry, the flow of flights controlled by the air traffic management system continues to increase. Therefore, the civil aviation industry's requirements for the reliability of the air traffic control communication navigation monitoring system are also increasing, especially for the call quality and coverage of the ground-air communication system. Indexes such as scope, system stability and reliability put forward higher requirements. However, with the strong growth of my country's economy, the widespread and specialized application of radio equipment in various social systems has become the norm. Therefore, the electromagnetic environment of civil aviation systems is bec...

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