Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Two-dimensional resource allocation method for networking radar multi-target ISAR imaging

A technology of resource allocation and networking radar, which is applied in the directions of resources, genetic rules, radio wave reflection/reradiation, etc., can solve the lack of overall system performance, insufficient utilization of networking radar resources, and research on network radar resource allocation And other issues

Active Publication Date: 2020-02-07
GUILIN UNIV OF ELECTRONIC TECH
View PDF6 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned existing technologies mainly focus on multi-target tracking, detection, positioning schemes, target feature estimation, and imaging task allocation, but have not studied the networked radar resource allocation for multi-target imaging, especially time and aperture resources. land allocation, resulting in insufficient utilization of networked radar resources and lack of overall system performance

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
  • Two-dimensional resource allocation method for networking radar multi-target ISAR imaging
  • Two-dimensional resource allocation method for networking radar multi-target ISAR imaging
  • Two-dimensional resource allocation method for networking radar multi-target ISAR imaging

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0073] The simulation experiment is carried out on the scene of 4 radars and 3 target groups, among which the target group 1 has 7 targets, the target group 2 has 7 targets, and the target group 3 has 6 targets, a total of 20 targets. Figure 4 It is the spatial structure distribution map of radar position and target position.

[0074] For the allocation method of two-dimensional resources for multi-target ISAR imaging of the above-mentioned networked radar, refer to figure 1 , including the following steps:

[0075] S1: Determine the resource scheduling interval ΔT=1s, the pulse repetition frequency is PRF=1000Hz, divide the radar front into 4 sub-fronts G′=4; establish a 4×1000 resource matrix AP for each radar i , the initial moment AP i =0.

[0076] S2: By transmitting a small number of pulses, the radar can estimate the number of targets, space coordinates, speed, heading, and radar reflection cross section (RCS). Each radar takes a coarse-resolution image of the tar...

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 two-dimensional resource allocation method for networking radar multi-target ISAR imaging, relates to the technical field of phased array radar inverse synthetic aperture radar imaging, and solves the technical problem of how to reasonably allocate time and aperture resources of a radar system for a multi-target imaging task under a radar networking condition so as to improve the overall performance of the radar system. According to the method, on the basis of target feature cognition, requests for radar resolution are determined, time and aperture resources requiredby target imaging are determined by combining a sparse ISAR imaging technology and a radar equation on the basis; and then resource allocation of the networking radar system is realized through a two-dimensional resource scheduling model for multi-target imaging of the distributed networking radar system, and finally, a multi-radar to multi-target inverse synthetic aperture imaging task is realized through alternate observation and acquisition of target echo signals. According to the method, resource allocation is considered from two perspectives of time and aperture, the resource utilizationrate is improved, and the overall performance of the system is improved.

Description

technical field [0001] The invention relates to the technical field of phased array radar inverse synthetic aperture radar imaging, in particular to a two-dimensional resource allocation method for multi-target ISAR imaging of networked radars. Background technique [0002] The distributed networking radar system uses networking technology to organize different radar nodes distributed in the detection area to work together to form an organic and unified radar system. It has the advantages of strong parameter estimation ability and so on. [0003] In recent years, distributed networking radar has attracted more and more scholars, and there have been many studies on distributed networking radar systems. He et al. proposed a method for joint estimation of target position and velocity in active and passive radar networks. Xie et al., study a joint node selection and power allocation strategy for multi-target tracking in a decentralized radar network. Ma et al. proposed a join...

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): G06Q10/06G01S13/72G01S13/90G06N3/12
CPCG06Q10/06312G06Q10/06313G01S13/726G06N3/126G01S2013/0245
Inventor 廖可非杜毅欧阳缮李晶晶李长树白钊铭
Owner GUILIN UNIV OF ELECTRONIC TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products