Multi-target clustering method for high resolution millimeter wave radar

Abstract

The invention belongs to the technical field of radar signal processing and discloses a multi-target clustering method for a high resolution millimeter wave radar. The method comprises the following steps of: obtaining signal-to-noise ratios of plots detected by the radar, setting a signal-to-noise ratio detection threshold, and discarding plots with signal-to-noise ratios below the signal-to-noise ratio detection threshold in the plots detected by the radar to obtain effective plots; sorting the effective plots according to the signal-to-noise ratios from high to low to obtain sorted effective plots; obtaining a relative distance and a relative angle of each effective plot and the radar and obtaining a spatial right coordinate position and a speed of each effective plot; clustering the sorted effective plots to obtain a plurality of clusters; and calculating the position, the size, and the speed of the center point of a target corresponding to each cluster. The multi-target clusteringmethod for the high resolution millimeter wave radar has the advantages of realizing a target point cloud cluster identification of the high-resolution radar, having no lag in clustering results, andcapable of accurately calculating the recognition target and the target information.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and in particular relates to a multi-target clustering method for high-resolution millimeter-wave radar, which can effectively eliminate noise points in complex electromagnetic environments and multi-target environments, and perform multi-dimensional data comprehensive processing and clustering for each target . Background technique [0002] Multi-target clustering is of great significance for target recognition after target detection. High-resolution millimeter-wave radar has broad application prospects in vehicle detection, UAV detection and other fields. Millimeter-wave radar has the characteristics of high resolution, wide operating frequency band, and short wavelength, which is easy to obtain target detail features. It is suitable for target classification, but it also puts forward higher requirements for target clustering algorithms. Under high-resolution detection, each ta...

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Problems solved by technology

[0005] In view of the problems existing in the above-mentioned prior art, the purpose of the present invention is to provide a high-resolution millimeter-wave radar multi-target clustering method, which solves the problem that the existing clustering method cannot reflect high-dimensional data well, and the boundary samples are vulnerable to the order of sample data. influence and other issues, improve the accuracy of clustering

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