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Clustering analysis method of three-dimensional airborne radar

A cluster analysis, airborne radar technology, applied in radio wave measurement systems, instruments, etc., can solve the problems of poor results in the actual measurement stage, no practical value, complex algorithm process, etc., to achieve target clutter suppression, computational speed Fast, logically structured effects

Inactive Publication Date: 2020-04-14
HUNAN NOVASKY ELECTRONICS TECH
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Problems solved by technology

[0004] In the related technologies of the prior art, a method of suppressing false alarms by radar imaging in two-dimensional space has been proposed, but this method only uses conventional signal processing methods such as filtering and windowing to suppress false alarms in two-dimensional space , most of them are still in the simulation stage in an ideal environment, and the algorithm process is complex and time-consuming, and the results in the actual measurement stage are not good and have no practical value

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  • Clustering analysis method of three-dimensional airborne radar
  • Clustering analysis method of three-dimensional airborne radar
  • Clustering analysis method of three-dimensional airborne radar

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Embodiment Construction

[0043] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0044] Such as figure 1 As shown, the cluster analysis method of the three-dimensional airborne radar of the present invention includes:

[0045] Step S1: range-to-pulse compression;

[0046] Pulse compression and clutter suppression to achieve high resolution in distance dimension;

[0047] Step S2: BP imaging;

[0048] Perform BP imaging (Back Projection algorithm) and CF weighting, and coherently sum the time-delayed echo data of each channel to obtain a three-dimensional radar imaging map;

[0049] Step S3: cluster analysis;

[0050] Divide the three-dimensional data samples into various types, remove the small area type, extract the centroid of each type, and output the coordinates of the target centroid;

[0051] Step S4: detection and tracking;

[0052] Detect the position of the tracking target, and observe the sequence ...

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Abstract

The invention discloses a clustering analysis method for a three-dimensional airborne radar. The clustering analysis method comprises the following steps: S1, acquiring a three-dimensional radar imaging graph; S2, performing clustering analysis; dividing a three-dimensional data samples into different types, removing small-area types, extracting mass centers of the different types, and outputtingcoordinates of a target mass center; and S3, carrying out detecting and tracking; and predicting the coordinate of the next position of the target according to the position of the detected and trackedtarget and an observation sequence. The method has the advantages of being simple in principle, good in real-time performance, high in efficiency, capable of effectively restraining target clutters,high in operation speed and the like.

Description

technical field [0001] The invention mainly relates to the technical field of unmanned aerial vehicle-borne three-dimensional radar, in particular to a cluster analysis method of three-dimensional airborne radar. Background technique [0002] UAV-borne 3D radar fully has the characteristics of long flight distance, no terrain restrictions, and flexible maneuverability of UAV flight platforms. It has strong penetration of non-metallic media, multi-target 3D positioning, and strong environmental adaptability of photoelectric pods Display the advantages of intuitiveness and so on. It can safely and quickly enter ruins, buildings and forest areas, realize fast and efficient completion of large-area search tasks, and has great application value in the search field. [0003] At present, in the analysis of a large amount of data of UAV-borne 3D radar, it is found that due to the jitter of the UAV platform itself and the complex detection environment, the radar echo will be mixed w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/418
Inventor 杨博王生水唐良勇
Owner HUNAN NOVASKY ELECTRONICS TECH
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