A Novel Algorithm for Multipath Fingerprinting in Indoor WLAN Environments

Abstract--Positioning in indoor wireless environments is growing rapidly in importance and gains commercial interests in context-awareness applications. The essential challenge in localization is the severe fluctuation of receive signal strength (RSS) for the mobile client even at a fixed location. This work explores the major noisy source resulted from the multipath in an indoor wireless environment and presents an advanced positioning architecture to reduce the disturbance. Our contribution is to propose a novel approach to extract the robust signal feature from measured RSS which is provided by IEEE 802.11 MAC software so that the multipath effect can be mitigated efficiently. The dynamic multipath behavior, which can be modeled by a convolution operation in the time domain, can be transformed into an additive random variable in the logarithmic spectrum domain. That is, the convolution process becomes a linear and separable operation in the logarithmic spectrum domain and then can b...

• Type: Journal
• Year: 2008
• Where: TWC
• Authors: Shih-Hau Fang, Tsung-Nan Lin, Kun-Chou Lee
• Keywords: Dynamic Multipath Behavior, Indoor Wireless Environment, Logarithmic Spectrum Domain, TWC 2008