Track start discrimination method based on attribute clustering and space-time constraint

A Technology of Track Initiation and Discrimination Methods

Active Publication Date: 2021-07-27
江西航天鄱湖云科技有限公司
View PDF12 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a track initial discrimination method based on attribute clustering and space-time constraints, which solves the problem of low accuracy of track determination in the prior art

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
  • Track start discrimination method based on attribute clustering and space-time constraint
  • Track start discrimination method based on attribute clustering and space-time constraint
  • Track start discrimination method based on attribute clustering and space-time constraint

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0049] A method of track initiation discrimination based on attribute clustering and space-time constraints, such as figure 1 shown, including the following steps:

[0050] Step 1. Perform Z-score normalization processing on the attribute information value of each target electronic information. The attribute information value includes the maximum value, minimum value and average value of carrier frequency, pulse width and repetition frequency:

[0051]

[0052] In the above formula, Y represents the initial field value, mean(Y) represents the mean value of the initial field value, and SN(Y) represents the standard deviation of the initial field value.

[0053] Step 2, using the K-means dynamic clustering method to cyclically calculate the similarity of all the target electronic information, and set the similarity measurement conditions, and...

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 discloses a track start discrimination method based on attribute clustering and space-time constraint, and the method comprises the steps: carrying out the clustering of all target electronic information through employing a K-Means dynamic clustering method according to the attribute information value similarity of the target electronic information; and according to a space-time constraint relationship, performing track association on each type of target electronic information to obtain a plurality of tracks. The method is suitable for track start judgment of space-based electronic signals; when track start discrimination is carried out, space-time information and attribute information of electronic information are used at the same time, hierarchical clustering is carried out on the attribute information firstly, then intra-class association is carried out according to space-time constraint conditions, false alarm points are eliminated, and meanwhile the rate and accuracy of track start discrimination are increased.

Description

technical field [0001] The invention belongs to the technical field of ocean monitoring methods, and relates to a track start discrimination method based on attribute clustering and space-time constraints. Background technique [0002] Marine target monitoring is mainly based on electronic reconnaissance satellites and imaging remote sensing detection satellites. Electronic reconnaissance satellites are known as "tail wind ears". Based on the search and interception of electromagnetic signals from radiation sources, they can find and identify targets in vast seas. The positioning accuracy is low, the noise is large, and the error is large, and the electromagnetic signal detection equipment on the satellite is a passive sensor, and its observation data is random and intermittent. [0003] The satellite electronic information directly gives the latitude and longitude information of the target, but its observation data presents a dense track distribution, and multiple observat...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/29G06F16/215G06F16/28
CPCG06F16/29G06F16/215G06F16/285
Inventor 王兆俊吴波王嘉楠姚娜娜高越虞结诚张立雪张艳军
Owner 江西航天鄱湖云科技有限公司
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap