Improvements in accurate GPS positioning using time series analysis

Koyama Yuichiro, Tanaka Toshiyuki

研究成果: Conference contribution

4 被引用数 (Scopus)


Although the Global Positioning System (GPS) is used widely in car navigation systems, cell phones, surveying, and other areas, several issues still exist. We focus on the continuous data received in public use of GPS, and propose a new positioning algorithm that uses time series analysis. By fitting an autoregressive model to the time series model of the pseudorange, we propose an appropriate state-space model. We apply the Kalman filter to the state-space model and use the pseudorange estimated by the filter in our positioning calculations. The results of our positioning experiment show that the accuracy of our proposed method is much better than that of the standard method. In addition, as we can obtain valid values estimated by time series analysis using the state-space model, the proposed state-space model can be applied in several other fields.

ホスト出版物のタイトルProceedings of SICE Annual Conference 2010, SICE 2010 - Final Program and Papers
出版社Society of Instrument and Control Engineers (SICE)
出版ステータスPublished - 2010


名前Proceedings of the SICE Annual Conference

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学


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