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  • 标题:A Comparative Performance Evaluation of Indoor Geolocation Technologies
  • 本地全文:下载
  • 作者:Ahmad HATAMI ; Bardia ALAVI ; Kaveh PAHLAVAN
  • 期刊名称:Interdisciplinary Information Sciences
  • 印刷版ISSN:1340-9050
  • 电子版ISSN:1347-6157
  • 出版年度:2006
  • 卷号:12
  • 期号:2
  • 页码:133-146
  • DOI:10.4036/iis.2006.133
  • 出版社:The Editorial Committee of the Interdisciplinary Information Sciences
  • 摘要:As more location aware services are emerging in the market, the needs for accurate and reliable localization has increased and in response to this need a number of technologies and associated algorithms are introduced in the literature. Severe multipath fading in indoor areas, poses a challenging environment for accurate localization. In this article we provide a comprehensive overview of existing indoor localization techniques. We address the bandwidth requirement, advantages and disadvantages of received-signal-strength (RSS) and time-of-arrival (TOA) based localization algorithms. We describe a repeatable framework for comparative performance evaluation of localization algorithms. Using this framework we compare the performances of two TOA-based and two RSS-based algorithms. The TOA-based algorithms are the least square TOA (LS-TOA) and closest neighbor with TOA grid (CN-TOAG). The RSS-based algorithms are the maximum likelihood estimator and the recently introduced ray tracing assisted closest neighbor (RT-CN).
  • 关键词:indoor geolocation;wireless channel model;localization algorithm;location-aware services;user location tracking
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