Local positioning with artificial neural network and time of arrival technique

Hui Zhu*, Bo Huang, Yuji Tanabe, Takaaki Baba

*この研究の対応する著者

研究成果: Conference contribution

抄録

In recent years local positioning based on the received radio signals gets more interest. In a local environment, the multipath caused by the obstruction between transmitter and receiver are the main sources of range measurement errors, which result in the deterioration of the positioning performance. Many algorithms have been proposed for the position estimation under various environments. In this paper, an artificial neural network (ANN) based model is introduced to convert the received radio signals into position information. From the simulated results, it is indicated that the positioning precision of the proposed system, applied in a local environment, has been found to be 25% high than other algorithm under various scenarios. The implement of proposed algorithm could save the hardware cost of positioning systems.

本文言語English
ホスト出版物のタイトル3rd International Conference on Innovative Computing Information and Control, ICICIC'08
DOI
出版ステータスPublished - 2008
イベント3rd International Conference on Innovative Computing Information and Control, ICICIC'08 - Dalian, Liaoning
継続期間: 2008 6 182008 6 20

Other

Other3rd International Conference on Innovative Computing Information and Control, ICICIC'08
CityDalian, Liaoning
Period08/6/1808/6/20

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • ソフトウェア
  • 制御およびシステム工学

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