An indoor position estimation method by maximum likelihood algorithm using RSS

Isao Yamada, Tomoaki Ohtsuki, Tetsuo Hisanaga, Li Zheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

A lot of applications of sensor networks require the position of human and objects in indoor environment. There are some methods for this purpose. In this paper, we use received signal strength (RSS) to estimate the position. However, RSS varies substantially owing to fading, shadowing and multipath effects. Attenuation constant varies according to indoor environment. For this reason, the attenuation constant is determined before estimating the position of target node in the conventional method. We propose a position estimation method that estimates a target node position and attenuation constant simultaneously. Thus, the proposed method has no need to estimate the attenuation constant in the target environment preliminarily. To evaluate the position estimation accuracy of the proposed method, we developed the prototype system and experimented in our office. Multiple fixed target nodes were set in the target environment. The experiment presents that the proposed method has about the same accuracy as the conventional one without preliminary data collection for attenuation constant estimation.

Original languageEnglish
Title of host publicationSICE Annual Conference, SICE 2007
Pages2927-2930
Number of pages4
DOIs
Publication statusPublished - 2007 Dec 1
EventSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 - Takamatsu, Japan
Duration: 2007 Sep 172007 Sep 20

Publication series

NameProceedings of the SICE Annual Conference

Other

OtherSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007
CountryJapan
CityTakamatsu
Period07/9/1707/9/20

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Keywords

  • Attenuation constant
  • IEEE802.15.4
  • Maximum likelihood algorithm
  • Position estimation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Yamada, I., Ohtsuki, T., Hisanaga, T., & Zheng, L. (2007). An indoor position estimation method by maximum likelihood algorithm using RSS. In SICE Annual Conference, SICE 2007 (pp. 2927-2930). [4421491] (Proceedings of the SICE Annual Conference). https://doi.org/10.1109/SICE.2007.4421491