Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Generalized grouping detection method

A group detection, generalized technology, applied in measurement devices, radio wave measurement systems, radio wave reflection/re-radiation and other directions, can solve the problem that the group detection algorithm does not have the ability to distinguish, does not consider the target characteristic information, etc., to improve the situation. Cognitive ability, the effect of improving cognitive ability

Active Publication Date: 2016-09-28
耿文东
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, this grouping detection is a grouping detection method based on the target scale information, that is, the target distance between the group target members is calculated separately, and the group target group detection is realized according to the target distance smaller than the specified one. This method does not consider the target characteristic information
That is to say, when multiple targets of different types, functions, sizes, structures and materials appear in a group at the same time, the existing group detection algorithm does not have the ability to distinguish

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
  • Generalized grouping detection method
  • Generalized grouping detection method
  • Generalized grouping detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] Since the target radar cross-sectional area RCS is closely related to the target size, structure, and material, the present invention will be further described by taking the three-coordinate radar as an example, based on the target scale information, and using the target RCS characteristic information.

[0048] (1) Generalized dot trace generation

[0049] Suppose there are M targets in the monitoring space, and the radar trace in the narrow sense is:

[0050] Yi (k)=(R i , α i , β i ) i=1, 2, . . . , M (11)

[0051] where R i 、α i , β i are the distance, azimuth, and elevation values ​​of the i-th generalized trace at time k, respectively. Its data format is shown in Table 1:

[0052] Table 1 Narrow sense dot plot data format

[0053]

[0054] Let any target RCS characteristic value be A gi (k), keep the narrow dot plot format and the number of columns unchanged, increase the number of rows by one dimension, and add the RCS characteristic information A gi...

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 generalized grouping detection method which includes the following steps: S1. generalized point trace generation; S2. generalized grouping detection criteria; and S3. generalized grouping detection algorithm. The generalized point trace enables grouping detection to have selectivity, which increases anti-interference capability. The generalized grouping detection criteria enable the grouping detection to be flexible, which increases object identification capability. The generalized grouping detection algorithm enables the grouping detection to have generability, which increases situation cognition capability. The generalized grouping detection algorithm is not only applicable to narrow band radar object tracking and broadband radar object tracking, and is also applicable to object tracking of visible light sensors, infrared sensors and multispectral sensors, etc. The generalized grouping detection algorithm is applicable to single object tracking, and is also applicable to multi-object tracking. The generalized grouping detection algorithm is applicable to dense multi-object tracking and is also applicable to sparse multi-object tracking. The generalized grouping detection algorithm is applicable to group object tracking of physical domain and is also applicable to group object tracking of functional domain. The generalized grouping detection method can increase capabilities of exploration systems for objects on land, on air, at sea, near space and outer space, etc, and can simplify commanding and controlling systems.

Description

technical field [0001] The invention relates to the field of information processing, in particular to the field of situation awareness of radar and optical system target tracking and command and control systems. Background technique [0002] Group targets, also known as group targets and target groups, refer to a collection of multi-targets that satisfy a given target distance criterion and maintain a relatively stable spatial position for a long enough time. Among them, single targets and formation targets are special cases of group targets. . The process of group target tracking can be summarized as follows: ① Divide dense multi-targets into indistinguishable dense multi-target clusters and distinguishable single targets, that is, cluster detection; ② use indistinguishable dense multi-target clusters as group targets according to certain rules Processing; ③Track group targets and distinguishable single targets as sparse multi-targets. Therefore, group detection has becom...

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): G01S13/72
CPCG01S13/726
Inventor 耿文东耿歌杨丽
Owner 耿文东
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
Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com