Radar node selection method based on measurement error covariance matrix norm

A technology of error covariance and matrix norm, applied in the field of radar node resource management, can solve the problems that the sensor model is not widely applicable, does not consider the measurement error, and cannot be applied to the radar network, etc., to achieve small correlation and small tracking error , Solve the effect of inaccurate tracking

Active Publication Date: 2015-07-15
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

From the published literature, there are very few existing radar selection methods for target tracking in radar networks, and there are many problems in the sensor selection methods for target tracking in a large number of sensor networks: First, the scope of application of the sensor model is not wide , many methods cannot be applied to the radar network due to different measurement models and different coordinate system selections; secondly, the influence of the measurement error and the correlation of different measurement values ​​on the system performance is not considered

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 node selection method based on measurement error covariance matrix norm
  • Radar node selection method based on measurement error covariance matrix norm
  • Radar node selection method based on measurement error covariance matrix norm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] like figure 1 As shown, the embodiment takes two radar nodes as a detection group as an example, and the radar node resource management method based on the norm of the radar measurement error covariance matrix is ​​used for tracking after the radar node is selected as follows:

[0015] Step 1. Radar network system parameter initialization:

[0016] 1.1. Set the topological position of the radar node in the radar network (x r ,y r ), where x r Represents the position coordinates of the radar in the direction of the x-axis in the Cartesian coordinate system, y r Indicates the position coordinates of the radar in the direction of the y-axis in the Cartesian coordinate system.

[0017] 1.2. Set the initial state of the target in the radar network, the initial measurement error covariance matrix and the target state transition matrix. Where: the initial state is (x,x v ,y,y v )', x represents the position coordinates of the target in the x-axis direction in the Cartes...

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 provides a radar node selection method based on measurement error covariance matrix norm. The radar node selection method comprises the following steps: radars for constructing the least squares norm of a measurement error covariance matrix is taken as target tracking operating radars, and at last, performing target tracking process by the selected radars. The least squares norm of the measurement error covariance matrix is used as a criterion for selecting radar nodes and the correlations between different radar measurement values is fully considered. Under the condition that the correlations between different values are fully considered, radars which are small in measurement error, more in effective information and less in redundant information are selected out to track targets, so that the target tracking precision is improved.

Description

technical field [0001] The invention relates to radar technology, in particular to radar node resource management technology in radar network. Background technique [0002] Generally speaking, radar node resource management technology refers to that in a radar network composed of many radar nodes, when the radar network performs tasks such as detection, tracking, and positioning, in order to save information transmission costs, save computing costs, and improve system performance and other purposes, the management technology of controllable factors in the use of radar node resources. In the process of radar network target tracking, all radar nodes are in the working state, observing the target and transmitting the measurement information to the central node of the radar network for fusion processing and tracking. At this time, if we do not manage it, but transmit the measurement values ​​of all radar nodes in the radar network to the central node of the radar network for in...

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): G01S7/42G01S13/66
CPCG01S7/02G01S13/66
Inventor 易伟李雪婷杨益川李溯琪王经鹤孔令讲崔国龙杨建宇
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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