Error analysis for RADAR neighbor matching localization in linear logarithmic strength varying Wi-Fi environment.

This paper studies the statistical errors for the fingerprint-based RADAR neighbor matching localization with the linearly calibrated reference points (RPs) in logarithmic received signal strength (RSS) varying Wi-Fi environment. To the best of our knowledge, little comprehensive analysis work has a...

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Publicado en:Scientific World Journal pp. 647370 - 647371
Autores principales: Zhou, Mu, Tian, Zengshan, Xu, Kunjie, Yu, Xiang, Wu, Haibo
Formato: research Journal Article
Publicado: Wiley-Blackwell 2014
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2014
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2014/647370
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        103815373
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        atl: Error analysis for RADAR neighbor matching localization in linear logarithmic strength varying Wi-Fi environment.
      aug:
        au:
          Zhou, Mu
          Tian, Zengshan
          Xu, Kunjie
          Yu, Xiang
          Wu, Haibo
        affil: Chongqing Key Lab of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China ; Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong.
      sug:
        subj:
          Computer Communication Networks
          Linear Regression
          Models, Theoretical
          Wireless Communications
          Cost Benefit Analysis
      ab: This paper studies the statistical errors for the fingerprint-based RADAR neighbor matching localization with the linearly calibrated reference points (RPs) in logarithmic received signal strength (RSS) varying Wi-Fi environment. To the best of our knowledge, little comprehensive analysis work has appeared on the error performance of neighbor matching localization with respect to the deployment of RPs. However, in order to achieve the efficient and reliable location-based services (LBSs) as well as the ubiquitous context-awareness in Wi-Fi environment, much attention has to be paid to the highly accurate and cost-efficient localization systems. To this end, the statistical errors by the widely used neighbor matching localization are significantly discussed in this paper to examine the inherent mathematical relations between the localization errors and the locations of RPs by using a basic linear logarithmic strength varying model. Furthermore, based on the mathematical demonstrations and some testing results, the closed-form solutions to the statistical errors by RADAR neighbor matching localization can be an effective tool to explore alternative deployment of fingerprint-based neighbor matching localization systems in the future.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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