A statistical method of low-altitude birds in airports based on target state set

Abstract

The present invention provides a method for counting the number of low-altitude birds in an airport based on a target state set. and use the historical trajectory information to remove the existing target from the above-mentioned candidate set of flying bird targets to obtain the candidate set of new targets for the filtering period; The data is filtered to obtain the current target state set; the trajectory connection and extinction discrimination are performed on the target state set, and the number of bird targets within the current monitoring range is output. The method of the invention effectively utilizes the historical trajectory information, is suitable for the low-altitude bird scouting scene in the airport where the number of flying bird targets changes rapidly, and improves the estimation accuracy of the number of flying bird targets.

Description

technical field [0001] The invention relates to the technical field of low-altitude airspace security monitoring, in particular to radar image processing and target tracking, and in particular to a method for counting the number of low-altitude birds in an airport based on a target state set. Background technique [0002] "Bird detection radar" has been widely used in low-altitude bird monitoring at airports. It can run automatically around the clock and is not affected by weather and other factors. It is an effective means to reduce the occurrence of bird strikes. [0003] Due to the strong randomness of low-altitude bird flight and weak radar echo in the airport, it is difficult to form a stable track. At the same time, the number of bird targets changes rapidly, and clutter interference is added. Measurements may be missing, and some false alarm targets may be mixed in, which makes it difficult for traditional target tracking algorithms to accurately estimate the number o...

AI Technical Summary

Problems solved by technology

[0003] Due to the strong randomness of low-altitude flying birds at the airport and the weak radar echo, it is difficult to form a stable track. At the same time, the number of flying bird targets changes rapidly, coupled with clutter interference. Measurements may be missing, and some false alarm targets may be mixed in, making it difficult for traditional target tracking algorithms to accurately estimate the number of targets, resulting in a decline in tracking performance

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