Target clustering method applied to airport surface detection radar

Abstract

The invention belongs to the target real-time clustering technology field for airport surface detection radar and more particularly, to a target clustering method applied to an airport surface detection radar. The method comprises: firstly, obtaining the target echo information processed at the front end of the radar; performing false point trajectory filtering to the target echo information to obtain the filtered target echo information; performing channel maximum selection to the filtered target echo information; detecting the target echoing wave information belonging to the same target to construct a two-dimensional image; and utilizing the two-dimensional image's contour and the target echo information in the contour to estimate the target parameters to obtain the target parameters after the clustering of the same target. With the target clustering method of the invention, the target clustering precision is increased considerably; and the separation of the target in the distance direction and the orientation direction can be reduced so as to provide a solid foundation for subsequent flight path treatment.

Description

technical field [0001] The invention belongs to the technical field of real-time target aggregation of an airport surface surveillance radar system, and in particular relates to a target aggregation method for an airport surface surveillance radar system. Background technique [0002] With the rapid development of my country's economy, the number of flights is also increasing rapidly, which puts forward higher requirements for the command of the air traffic control system controller and the maintenance of facilities and equipment. The airport surface surveillance radar is a radar, mainly used to monitor the airport scene Aircraft and vehicles use the target's own radiation or reflection characteristics of electromagnetic waves to find targets. With the rapid increase in the number of aircraft and airport ground support vehicles, how to manage airport traffic and air ground support services under limited space and changing weather conditions has become a problem that airport a...

AI Technical Summary

Problems solved by technology

[0004] The traditional target agglomeration method uses the one-dimensional detection and merging method of the distance direction and then the azimuth direction to agglomerate the target, which reduces the accuracy of the target agglomeration and leads to the splitting of the target in the distance direction and the azimuth direction.

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