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Compressed sensing based distributed multi-zone positioning method

A technology of compressed sensing and positioning method, which is applied in electrical components, wireless communication, network topology and other directions, and can solve the problems of high communication and computing overhead.

Active Publication Date: 2013-12-04
HUNAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional fingerprint positioning algorithm based on Received Signal Strength (RSS) uses the Nyquist sampling theorem to collect samples twice the transmission frequency, and uses the traditional positioning algorithm to locate unknown nodes, which can minimize environmental factors. impact, but with high communication and computational overhead

Method used

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  • Compressed sensing based distributed multi-zone positioning method
  • Compressed sensing based distributed multi-zone positioning method
  • Compressed sensing based distributed multi-zone positioning method

Examples

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Embodiment 1

[0056] 1. A distributed multi-area positioning method based on compressed sensing, characterized in that, comprising an offline stage and an online stage:

[0057] 1) Offline stage:

[0058] Weight the sampling samples and build an offline fingerprint library;

[0059] 2) Online stage:

[0060] The node to be positioned receives the perceived anchor node information in real time. The anchor node is a node with a known position. First, the grid selection is performed, and then the perceived anchor node is selected, and finally the positioning is completed through the signal recovery method.

[0061] 2. The distributed multi-area positioning method based on compressed sensing according to claim 1, wherein the offline stage comprises the following steps:

[0062] 1) Establish offline measurement matrix:

[0063] The total number of grid points in the positioning area is N, and the number of anchor nodes is L; on each grid, q sampling is performed to collect the RSS (received s...

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Abstract

The invention discloses a compressed sensing based distributed multi-zone positioning method. The method includes an offline phase and an online phase: 1), for the offline phase, a sampling sample is weighed and an offline fingerprinting database is established; 2), for the online phase: a to-be-positioned node receives sensed anchor node information in real time, an anchor node is a node whose location is known, grid selection is performed, the anchor node which can be sensed is selected, and finally positioning is finished through the signal recovery algorithm. Through a multi-zone weighted stack mechanism of the online phase, clustering complexity is lowered, energy consumption of positioning is reduced, and positioning precision is high.

Description

technical field [0001] The invention belongs to the field of wireless sensor positioning, and relates to a distributed multi-region positioning method based on compressed sensing. Background technique [0002] Wireless localization is an important issue in wireless networks. For most applications, such as: environmental monitoring, medical treatment, smart home, etc., the data sensed without knowing the location of the event is meaningless, so node positioning is of great significance in sensor network research. The simplest positioning method is a high-precision global positioning system (Globe-Positioning-System, GPS). But the positioning accuracy of the system is affected by satellite position, radio frequency signal noise, atmospheric environment and obstacles on the channel. However, buildings can block the GPS signal, seriously affecting the positioning accuracy. Therefore, GPS cannot be applied to indoor positioning. [0003] With the rapid development of sensor t...

Claims

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Application Information

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IPC IPC(8): H04W64/00H04W84/18
Inventor 罗娟查俊莉潘陈
Owner HUNAN UNIV