Radar data filtering method based on thermodynamic diagram and graph theory clustering

A radar data and filtering method technology, which is applied in other database retrieval, special data processing applications, other database clustering/classification, etc., can solve the problems of low efficiency, long data calculation time, and large manpower consumption of radar signal detection data. and other problems, to achieve the effect of good adaptability and high recognition efficiency

Active Publication Date: 2021-06-22
DFINE TECH
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  • Application Information

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Problems solved by technology

The extraction of radar signal detection data in this patent requires a lot of manpower, and the data calculation takes a long time, so the efficiency is not high in actual application

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  • Radar data filtering method based on thermodynamic diagram and graph theory clustering
  • Radar data filtering method based on thermodynamic diagram and graph theory clustering
  • Radar data filtering method based on thermodynamic diagram and graph theory clustering

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Embodiment Construction

[0030] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described with reference to the accompanying drawings.

[0031] In this example, if figure 1 As shown, the radar data filtering method based on heat map and graph theory clustering includes the following steps:

[0032] Step 1: Obtain and cache radar data, and map the radar data to Heat Map to generate a corresponding heat map;

[0033] Step 2: By observing the heat map, analyze the frequency and situation of the points in each area, set a threshold, find and mark all the points near the threshold, and after taking them out, you can clearly see the circled places by visual inspection like figure 2 shown;

[0034] Step 3: After obtaining the set of boundary threshold points that need to be processed, find out the boundaries of these points through Alpha Shapes, and obtain the fixed ...

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Abstract

The invention discloses a radar data filtering method based on a thermodynamic diagram and graph theory clustering. The method comprises the following steps: 1, obtaining and caching radar data, and mapping the radar data to Heat Map to generate a corresponding thermodynamic diagram; 2, analyzing the occurrence frequency and condition of points in each region by observing the thermodynamic diagram, setting a threshold value, and finding out and marking all points near the threshold value; 3, after a boundary threshold point set needing to be processed is obtained, the boundaries of the points are found out through Alpha Shapes, and a fixed noise point generation area is obtained; and step 4, after boundary point cluster sets are obtained through calculation by an Alpha Shapes algorithm, whether points thrown by the radar fall into the boundary point cluster sets is judged, and radar data preprocessing is completed. The method is suitable for vertex radar data processing of multiple noise points in a complex environment, has good adaptability to mobile radar data or radar data in an abrupt change environment by automatically recognizing a noise source area in real time, and is high in recognition efficiency, simple and effective.

Description

technical field [0001] The invention relates to the field of data preprocessing, in particular to a radar data filtering method based on thermal diagrams and graph theory clustering. Background technique [0002] In recent years, the technology of civilian drones has become more and more mature. While the applications are becoming more and more extensive, the control accidents and related safety issues caused by civilian drones are becoming more and more normalized. Civilian drones are used in many beneficial application scenarios. It may also be used more and more maliciously. [0003] This is how the countermeasure system for low, small and slow UAVs came into being. The countermeasure system for low, small and slow UAVs is mainly divided into two parts: detection and countermeasures. In the detection part, radar plays a very important role in detection. Therefore, it is a great challenge for the target screening of radar data. Too many noise points in a fixed area will ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F16/906G06F16/904
CPCG06F16/906G06F16/904G06F18/2323
Inventor 路航许涛
Owner DFINE TECH
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