A wireless LAN-based indoor positioning technology

Zhe Xiang, Song Song, Jin Chen, Hao Wang, Jian Huang, Xingxin Gao

Research output: Contribution to journalArticlepeer-review


Context-aware computing is an emerging computing paradigm that can provide new or improved services by exploiting user context information. In this paper, we present a wireless-local-area-network-based (WLAN-based) indoor positioning technology. The wireless device deploys a position-determination model to gather location information from collected WLAN signals. A model-based signal distribution training scheme is proposed to trade off the accuracy of signal distribution and training workload. A tracking-assistant positioning algorithm is presented to employ knowledge of the area topology to assist the procedure of position determination. We have set up a positioning system at the IBM China Research Laboratory. Our experimental results indicate an accuracy of 2 m with a 90% probability for static devices and, for moving (walking) devices, an accuracy of 5 m with a 90% probability. Moreover, the complexity of the training procedure is greatly reduced compared with other positioning algorithms.

Original languageEnglish (US)
Pages (from-to)617-626
Number of pages10
JournalIBM Journal of Research and Development
Issue number5-6
StatePublished - 2004
Externally publishedYes

ASJC Scopus subject areas

  • General Computer Science


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