Device-free localization method based on space migration compressive sensing

A technology of compressed sensing and positioning methods, applied in positioning, measuring devices, instruments, etc., can solve the problems of high manpower consumption, unrealistic positioning models, and positioning models that cannot be used in new areas of different sizes

Active Publication Date: 2015-09-09
NORTHWEST UNIV
View PDF1 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the monitoring area changes, it is also necessary to construct a perception matrix for different areas, so it cannot solve the problem of high manpower consumption
[0008] To sum up, these three types of positioning methods do not take into account the pr

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
  • Device-free localization method based on space migration compressive sensing
  • Device-free localization method based on space migration compressive sensing
  • Device-free localization method based on space migration compressive sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0068] The present invention provides a passive positioning method based on spatial migration compressed sensing, such as figure 1 As shown, the passive positioning method based on spatial migration compressed sensing includes:

[0069] Step 1, respectively deploy sensor nodes in the sample area and the area to be monitored;

[0070] Step 2, collect the RSS matrix at the reference position in the sample area and the area to be monitored by the sensor node;

[0071] Step 3, obtaining a transfer function according to the RSS matrix of the sample area and the area to be monitored;

[0072] Step 4, collect sample RSS values ​​in the sample area through the sensor nodes, and combine the sample RSS values ​​into a perception matrix;

[0073] Step 5, collect the positioning RSS value in the area to be monitored through the sensor node, and combine the positioning RSS value into a measurement vector;

[0074] Step 6: Migrate the perception matrix of the sample area and the measurem...

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 device-free localization method based on space migration compressive sensing, and belongs to the field of device-free localization. The method comprises the following steps: deploying sensor nodes; collecting matrixes at reference positions in a sample area and a to-be-monitored area to obtain a migration function; migrating the sensing matrix in the sample area and a measurement vector in the to-be-monitored area according to the migration function to obtain a migrated sensing matrix and a migrated measurement vector; and recovering the position of a target by adopting the theory of compressive sensing according to the migrated sensing matrix and the migrated measurement vector. According to the invention, the sensing matrix in the sample area and the measurement vector in the to-be-monitored area are migrated, and the position information of the target in the monitored area is determined by a compressive sensing localization method. Therefore, human consumption and communication cost brought by sensing matrix rebuilding for the to-be-monitored area are avoided, and the feasibility of realizing localization of different areas through compressive sensing is improved.

Description

technical field [0001] The invention relates to the field of passive positioning, in particular to a passive positioning method based on spatial migration compressed sensing. Background technique [0002] In recent years, the passive positioning (Device Free Localization, referred to as DFL) technology does not require users to wear any wireless devices and does not require users to actively participate in the positioning process, which has attracted great attention from academia and industry. The mainstream passive positioning method is to use the target to be located to locate the disturbance of the wireless signal in the monitoring area. It generally has two steps: in the training phase, based on the "Received Signal Strength" (Received Signal Strength, referred to as RSS) and "target position ” relationship to establish a positioning model (prior knowledge base); in the positioning phase, the location of the target is determined by matching the real-time RSS value with t...

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): G01S5/02
CPCG01S5/0278
Inventor 常俪琼房鼎益陈晓江王举邢天璋聂卫科王薇任宇辉
Owner NORTHWEST UNIV
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