Target detection plot clotting algorithm based on density clustering

Abstract

The invention discloses a target detection plot clotting algorithm based on density clustering, and relates to the technical field of signal and information processing. According to the algorithm, differences of different amplitude distributions in CFAR detection plot result data are taken into consideration: one is the difference of the distance between peak values of the detection plot data, andthe other is the amplitude difference and the density distribution difference of the detection plot data. The algorithm is based on a density clustering algorithm-based plot clotting algorithm whichis adaptive to a local distance radius and has noise. By sampling the plot data of a CFAR detection result, an Euclidean distance of all the acquired data is calculated according to distance-Doppler two-dimensional information, the threshold value is calculated by utilizing the amplitude information so as to perform clustering, so that the difficulty that a plurality of targets which are adjacentto one another and have large plot data amplitude and density distribution difference are difficult to correctly classify can be overcome, and the detected result is more accurate on the basis of notincreasing a hardware structure and expenditure.

Description

technical field [0001] The invention relates to the technical field of signal and information processing, in particular to a density clustering-based target detection point agglomeration algorithm. Background technique [0002] Such as Figure 4 The typical radar signal processing flow is shown. The main task of the radar system is to determine whether the target exists, and to accurately detect and track multiple batches of multiple targets. With the increase of the radar range and the improvement of the radar accuracy, the radar The amount of trace data collected also increases accordingly. In order to reduce the amount of data to be processed and ensure the accuracy and reliability of track information, a point-trace aggregation processing system with good performance becomes particularly important. The radar signal processing flow includes multiple links. After the constant false alarm detection (CFAR) processing, it is necessary to carry out agglomeration processing on ...

AI Technical Summary

Problems solved by technology

However, due to the global parameters set by this method, it is difficult to correctly classify multiple target data points with different density distributions and close distances with large amplitude differences. Therefore, how to find ideas from a new direction to improve the effect of point trace aggregation is a huge challenge

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