Air traffic early warning and anti-collision system C mode target track fusion realization method

Abstract

The invention provides an air traffic early warning and anti-collision system C mode target track fusion realization method. By filtering a false C mode answering signal, multipath false track and false C mode track, the air traffic early warning and anti-collision system C mode target monitoring and tracking reliability is improved, and high-reliability track file data is provided for an anti-collision function of the air traffic early warning and anti-collision system. According to the invention, the false C mode answering signal, multipath false track and false track can be filtered for the monitoring function of the air traffic early warning and anti-collision system, track fusion processing of the air traffic early warning and anti-collision system on a C mode target aircraft is realized, and the reliability of the monitoring and tracking functions of the air traffic early warning and anti-collision system is improved.

Description

technical field [0001] The invention belongs to the technical field of communication / identification / monitoring, and relates to a method for realizing fusion of a C-mode target track of an air traffic early warning and collision avoidance system, which is specifically applied to tracking and monitoring a target aircraft with a C-mode response function. Background technique [0002] As the airspace environment becomes increasingly busy and complex, air traffic warning and collision avoidance systems are more and more widely used in various types of aircraft. When the aircraft is flying near the ground or the surrounding airspace environment is relatively complex, the machine will receive signals such as synchronous response signals, reflections and diffractions of synchronous response signals, and signals such as asynchronous response signals and reflections and diffractions of asynchronous response signals. these signals overlap to complicate identification and may generate m...

AI Technical Summary

Problems solved by technology

these signals overlap to complicate identification and may generate multiple false Mode C targets that are very close in range, altitude, or azimuth, creating false tracks, false tracks, etc., making surveillance and tracking difficult

At present, the monitoring and tracking function of the air traffic early warning and collision avoidance system only judges the validity of the data in the processing of the C-mode response signal and the C-mode track file processing, and the processing algorithm for the interference track is not perfect. False tracks formed by various reasons lead to false alarms, which will lead to many false C-mode target aircraft being monitored and tracked by the local aircraft. The intuitive performance is that many false C-modes may be displayed on the display of the air traffic warning and collision avoidance system In this way, it is difficult for pilots to distinguish between real targets and false targets, and to misperceive air traffic conditions. Therefore, it is necessary to propose a method for accurately identifying C-mode targets and performing stable surveillance and tracking under such complex conditions.

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