Low complexity localization algorithm based on NLOS node identification using minimum subset for NLOS environments

Takahiro Fujita, Tomoaki Ohtsuki

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

The location estimation in sensor networks is of great current interest. A general approach to location estimation is to gather Time-of-Arrival (TOA) measurements from a number of nodes and to estimate a target location. The two major sources of range measurement errors in geolocation techniques are measurement error and Non-Line-of-Sight (NLOS) error. NLOS errors caused by blocking of direct paths have been considered as one of serious issues in the location estimation. Therefore, Iterative Minimum Residual (IMR) method, which identifies NLOS nodes and removes them from the data set used for localization, has been proposed. IMR improves location estimation precision in comparison with the technique that does not identify and remove NLOS nodes. However, IMR needs a lot of calculation to identify NLOS nodes. In this paper, we propose a low complexity localization algorithm based on NLOS node identification using minimum subset for NLOS environments. We evaluate our proposed algorithm by computer simulation. We show that the proposed method achieves almost the same root mean square error (RMSE) as the conventional method with lower complexity.

本文言語English
ホスト出版物のタイトル2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
ページ5389-5393
ページ数5
DOI
出版ステータスPublished - 2008 12月 1
イベント2008 IEEE Global Telecommunications Conference, GLOBECOM 2008 - New Orleans, LA, United States
継続期間: 2008 11月 302008 12月 4

出版物シリーズ

名前GLOBECOM - IEEE Global Telecommunications Conference

Other

Other2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
国/地域United States
CityNew Orleans, LA
Period08/11/3008/12/4

ASJC Scopus subject areas

  • 電子工学および電気工学

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