Method for establishing passive target measurement model based on wireless sensor network

A wireless sensor and target measurement technology, applied in the field of passive target measurement model, can solve the problems of large-scale error, increase of quantization noise, limit application range and accuracy, etc., achieve good positioning and tracking accuracy, increase application scenarios, reduce The effect of quantization error

Inactive Publication Date: 2011-09-14
松日数码发展(深圳)有限公司 +1
View PDF3 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method still has the following three problems: 1. It is necessary to pixelate the monitoring area, that is, the monitoring area needs to be regarded as a graphic, which adds restrictions to the shape of the monitoring area; 2. Pixelating the monitoring area The process of processing makes the positioning result in the center of a certain pixel, which artificially increases the quantization noise and reduces the positioning and tracking accuracy; 3. The attenuation of the signal by the target is binarized and distinguished, which brings a large quantization error, therefore, limits its application range and accuracy

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
  • Method for establishing passive target measurement model based on wireless sensor network
  • Method for establishing passive target measurement model based on wireless sensor network
  • Method for establishing passive target measurement model based on wireless sensor network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0021] A method for establishing a passive target measurement model based on a wireless sensor network, which is used to establish a target position x k (i.e. the predictor variable) and the received signal strength z k A passive target measurement model of the relationship between (ie, observations). Due to the absorption, reflection and diffraction effects of the target on the signal, the received signal strength of each link will have different changes. These highly redundant information can be linked with the position of the target through a suitable measurement model, and can be used for subsequent positioning and Tracking algorithm for target positioning and tracking. The method provides a measurement model that avoids shape limitation of the monitoring area and does not need to divide the monitoring area into pixels, and enables the measur...

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 method for establishing a passive target measurement model based on a wireless sensor network. The method is characterized by comprising the following steps: 1. computing the position relations of the target position relative to wireless sensor nodes, thus obtaining an ellipse with the wireless sensor nodes i and j as the focuses; and 2. determining attenuation of the wireless signal from the wireless sensor node i to the wireless sensor node j. The method has the following advantages and positive effects: the passive target measurement model is established by judging the position relations of the pre-estimated target position relative to the wireless sensor nodes and computing attenuation of the strength of the signal received in the position, thus overcoming the restriction to pixeling treatment of the monitored area, greatly adding the application context in target positioning and tracking, avoiding pre-pixeling treatment from being carried out on the monitored area and reducing artificially introduced quantization errors, so better positioning and tracking precision can be achieved.

Description

technical field [0001] The invention belongs to the field of wireless sensor networks, in particular to a method for establishing a passive target measurement model based on wireless sensor networks. Background technique [0002] Target localization and tracking is one of the main research directions of wireless sensor networks. Since the radio frequency signal sent by the wireless sensor network has a certain penetration, the positioning and tracking system based on the wireless sensor network can locate and track people and objects through the obstacles of walls, thick smoke and other objects. The propagation of radio frequency signals is not affected by light, so it can be used for target positioning and tracking no matter in indoor scenes that lack light such as nights, warehouses, and basements. [0003] Early target positioning and tracking methods based on wireless sensor networks are mainly suitable for active targets, that is, targets must carry wireless sensor nod...

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): H04W24/00H04W64/00H04W84/18
Inventor 黄孝建雷彬杨波门爱东叶锋张鑫明邸金红韩睿肖贺李云鹏陈晓博秦雯郑翊
Owner 松日数码发展(深圳)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