Wireless sensor network positioning method with unknown transmitting power based on hybrid RSS/AOA

A wireless sensor network, transmit power technology, applied in specific environment-based services, wireless communications, radio wave measurement systems, etc., can solve the problems of decreased positioning accuracy, poor positioning performance, low complexity, etc., to suppress measurement noise error, the effect of improving positioning accuracy

Pending Publication Date: 2022-07-29
NINGBO UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, a variety of wireless sensor network positioning methods based on hybrid RSS / AOA have been proposed. K. Yu proposed a weighted least square method (WLS), which obtained a closed-form analytical formula for the positioning problem, but this The positioning accuracy of the method drops sharply under large noise power; Tomic S transforms the positioning problem into a generalized trust region subproblem (GTRS) framework, and solves non-convex problems by dichotomy. This method has low complexity, but the method's Poor positioning 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
  • Wireless sensor network positioning method with unknown transmitting power based on hybrid RSS/AOA
  • Wireless sensor network positioning method with unknown transmitting power based on hybrid RSS/AOA
  • Wireless sensor network positioning method with unknown transmitting power based on hybrid RSS/AOA

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The present invention will be further described in detail below with reference to the embodiments of the accompanying drawings.

[0029] A hybrid RSS / AOA-based wireless sensor network positioning method with unknown transmit power proposed by the present invention, the overall implementation block diagram of which is as follows: figure 1 shown, it includes the following steps:

[0030] Step 1: Deploy a target node with an unknown position and N anchor nodes with known positions in the wireless sensor network, and set the transmission power of the target node to be unknown; and establish a three-dimensional coordinate system in the wireless sensor network as a reference coordinate system, denote the position of the target node in the reference coordinate system as x, and denote the position of the i-th anchor node in the reference coordinate system as a i ; wherein, N is a positive integer, N represents the number of anchor nodes deployed in the wireless sensor network,...

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 wireless sensor network positioning method with unknown transmitting power and based on mixed RSS/AOA, and the method comprises the steps: constructing an original non-convex target optimization problem according to a least square criterion on the basis of an RSS measurement model, an AOA direction angle measurement model and an AOA pitch angle measurement model; a positive semi-definite relaxation technology and a second-order cone relaxation technology are utilized to relax variables or constraint conditions in the equivalent description after the variables are introduced in the original non-convex target optimization problem constructed according to the least square criterion, and then a final convex target optimization problem is obtained; solving the final convex target optimization problem by using a mixed positive semidefinite/second-order cone programming technology, and carrying out joint estimation to obtain the position and transmitting power of a target node; the method has the advantages that the optimization of unknown variables can be ensured to obtain a globally optimal solution and is not influenced by local convergence, so that the positioning precision can be effectively improved, and the influence of measurement noise errors can be effectively inhibited.

Description

technical field [0001] The invention relates to a wireless sensor network positioning technology, in particular to a wireless sensor network positioning method based on hybrid RSS (received signal strength) / AOA (angle of arrival) with unknown transmission power. Background technique [0002] In recent years, indoor positioning applications using Wireless Sensor Network (WSN) have been widely studied. The wireless sensor network composed of a large number of stationary or moving sensors realizes the functions of data acquisition, processing and transmission. The positioning technology is the supporting technology of the wireless sensor network technology, that is, using the anchor node (known node means the position is known) through the measurement value. The location of the sensor) determines the location of the target node (the unknown node, that is, the sensor whose location is unknown). [0003] Existing distance-related wireless sensor network positioning methods can b...

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): H04W4/38H04W64/00G01S11/06
CPCH04W4/38H04W64/00G01S11/06
Inventor 任瑞洁李有明胡文静王旭芃
Owner NINGBO 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