|Table of Contents|

A Dynamic Environmental Adaptive Positioning Method Base on WSN(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2021年01期
Page:
35-42
Research Field:
·物理学·
Publishing date:

Info

Title:
A Dynamic Environmental Adaptive Positioning Method Base on WSN
Author(s):
Yang Wenbo1; Liu Yanhua1; 3; Cui Mingyue2
(1.Department of Electronics Engineering,Henan Polytechnic Institute,Nanyang 473061,China)(2.College of Physics and Electronic Engineering,Nanyang Normal University,Nanyang 473000,China)(3.Industrial Embedded Network Control Engineering Technology Research Center of Henan Province,Nanyang 473000,China)
Keywords:
wireless positioning; environment adaptive; EKF; RSSI distance
PACS:
TN98
DOI:
10.3969/j.issn.1001-4616.2021.01.006
Abstract:
This paper studies deeply the existing positioning technology based on wireless sensor network(WSN). Aiming at the problem of positioning accuracy caused by ranging error that usually generated by environmental factors in the range related positioning algorithms based on radioactive signal strength indication(RSSI),a dynamic environment adaptive positioning algorithm(DEAP)based on environment adaptive ranging algorithm(EAR)and Current Statistics model and extended kalman filter algorithm(CS-EKF)is proposed. The positioning experiments and simulations show that compared with existing WSN positioning methods,DEAP has higher positioning accuracy and can adapt to complex positioning environment. The positioning accuracy is above 50% higher than weighted least square estimate(WLSE)and weighted centroid location algorithm(WCLA),so it has universal application significance.

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Last Update: 2021-03-15