Radar plot clotting method based on PAM clustering analysis

Abstract

The invention relates to a radar plot clotting method based on PAM clustering analysis. The radar plot clotting method based on PAM clustering analysis is mainly suitable for extracting and processing radar plots in complex environments such as much clutters and group target track intersection. The processing procedures of the radar plot clotting method based on PAM clustering analysis comprise the steps of: dividing sectors according to azimuth; classifying plots in each sector according to feature-similarity degree by adopting a PAM clustering algorithm, wherein the plots in each classified cluster are considered to be split plots of a same target; adopting a feature close degree weighted calculation method for carrying out target plot clotting processing; establishing a time sequence model for each clustering result; carrying out target continuation judgment, wherein information such as results of judgment, software clutter maps, tracking gates and admission gates serves as main basis for clustering number calculation at the next scanning cycle; and executing the steps in an iterative mode. The radar plot clotting method based on PAM clustering analysis utilizes the statistical property of radar detection echoes for carrying out clustering and plot clotting processing, and effectively improves the accuracy and reliability of radar plot extraction.

Description

technical field [0001] The invention belongs to the field of radar data processing, and relates to a method for aggregating radar target points and traces using a PAM (Partitioning Around Medoid, division around a central point) clustering analysis algorithm. Background technique [0002] In the process of radar detecting targets, due to factors such as noise interference and the electromagnetic scattering effect of the target itself, there is a certain degree of fluctuation in the echo. A target may produce multiple traces at different positions, that is, the phenomenon of target splitting; In the clutter environment, common weather clutter (clouds, rain, waves, etc.) and interference false clutter are combined with the measurement information of the real target. In order to complete the data processing of the radar, it is first necessary to find the possible points of the same target split and condense them. [0003] The traditional dot trace agglomeration method first fi...

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Problems solved by technology

[0003] The traditional dot trace agglomeration method first finds the point with the maximum amplitude in a certain area as the center, and then performs agglomeration processing on all the dot traces in the agglomerated wave gate by the centroid method or the amplitude ratio method, and the effect is acceptable when the background is relatively clean , but in complex environments such as a lot of clutter, intersecting tracks, or multiple batches of targets in a small area, there may be a large deviation in the condensed point track, which will lead to tracking instability such as tracking deviation and loss of the follow-up target

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