Radar plot clotting method based on PAM clustering analysis

A technology of radar spot and cohesion method, which is applied in the direction of radio wave measurement systems and instruments, can solve problems such as spot deviation and tracking instability, and achieve the effects of improving accuracy, simple structure, and easy engineering implementation

Active Publication Date: 2015-09-23
THE 724TH RES INST OF CHINA SHIPBUILDING IND
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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 t

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Radar plot clotting method based on PAM clustering analysis
  • Radar plot clotting method based on PAM clustering analysis
  • Radar plot clotting method based on PAM clustering analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] The present invention adopts a kind of point trace cohesion method based on PAM clustering analysis to carry out the extraction of radar trace, and concrete implementation steps are (see attached figure 2 ):

[0014] Step 1: Store the full-range omnidirectional traces of the over-slow threshold after detection and processing in azimuth sectors;

[0015] Step 2: Extract the suspected target information in the sector and calculate the number of clusters. The method is as follows:

[0016] (1) Establish a three-dimensional software clutter map for the original point traces of the current sector to generate moving point traces;

[0017] (2) Obtain intermediate information such as tracking gates, recording gates, and time series extrapolation prediction results output by software modules such as tracking filtering, radar comprehensive display, and time series prediction;

[0018] (3) carrying out target redundancy merging processing to (1) and (2);

[0019] Step 3: Calcul...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01S7/02
CPCG01S7/02
Inventor 乔大雷童卫勇蔡文彬
Owner THE 724TH RES INST OF CHINA SHIPBUILDING IND
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products