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

Least square positioning method based on minimum error propagation and optimization selection

An error propagation and least squares technology, applied in positioning, measuring devices, instruments, etc., can solve the problems of low least squares positioning accuracy and communication distance estimation error, and achieve the effect of improving the least squares positioning accuracy

Inactive Publication Date: 2018-01-16
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem of low least squares positioning accuracy caused by communication distance estimation errors, and to provide a least squares positioning method based on minimum error propagation and optimal selection

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
  • Least square positioning method based on minimum error propagation and optimization selection
  • Least square positioning method based on minimum error propagation and optimization selection
  • Least square positioning method based on minimum error propagation and optimization selection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] combine figure 1 To illustrate this embodiment, a least squares positioning method based on minimum error propagation and bubble sort optimization selection described in this embodiment includes the following steps:

[0030] Step 1. Deploy I+1 wireless sensor nodes, which are respectively I positioned anchor nodes and 1 unknown node. They all have nanoLOC wireless radio frequency transceivers, and can use the bilateral peer-to-peer method to measure the distance between any two nodes. Estimated value of distance, wherein, I is a positive integer set by the user, and 4≤I≤10, and I takes a value of 10 among the present invention;

[0031] Step 2, each wireless sensor node is initialized, the unknown node first establishes a wireless network, and waits for other nodes to apply to join the network;

[0032] Step 3, after 1 anchor node is initialized successfully, adopt nanoLOC wireless radio frequency transceiver to scan and discover the wireless network that unknown node ...

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 least square positioning method based on minimum error propagation and optimization selection, and relates to a least square positioning method for anchor node optimization selection. The invention aims to effectively solve a problem of low positioning precision caused by a communication distance estimation error. The least square positioning method based on minimum errorpropagation and bubble sort optimization selection comprises the steps of firstly acquiring multiple sample values of distance estimation between an unknown node and each anchor node by adopting a bilateral equivalent distance estimation method, performing statistical analysis on the multiple sample values to obtain a statistical average and a statistical standard deviation of each distance estimation value; then optimally selecting distance estimation values with a product value of the statistical average and the statistical standard deviation for distance estimation being the minimum by adopting the method of bubble sort, and selecting the corresponding anchor nodes to construct a least square positioning equation set; and finally acquiring a high-precision positioning result by adopting the least square criterion.

Description

technical field [0001] The invention relates to high-precision distance estimation and positioning technology. Background technique [0002] In the actual wireless positioning environment, due to the influence of adverse factors such as environment and measurement errors, the communication distance estimation has a large error, resulting in a large error in the least squares positioning result. In view of the above problems, the present invention evaluates the product value of the estimated statistical mean value and the statistical standard deviation of the communication distance between each anchor node and the unknown node under the redundant positioning environment of anchor nodes, and uses this to optimize and select the required positioning equations in the construction process. The distance value and the anchor node can reduce the impact of the distance estimation error on the positioning results, thereby improving the least squares positioning accuracy. Contents of...

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
Inventor 蔚保国焉晓贞王垚罗清华李隽崔淼何成龙
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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