Target Localisation in Indoor Environment using Channel Response of WLAN
Journal Title: GRD Journal for Engineering - Year 2016, Vol 1, Issue 7
Abstract
Indoor positioning systems have received increasing attention for supporting location-based services in indoor environments. Indoor localization technologies address the inadequacy of global positioning system inside a closed environment, like buildings. GPS does not perform well in urban canyons, close to walls, buildings, trees, indoors, and in underground environments as the signal from the GPS satellites is too weak to come across most buildings thus making GPS ineffective for indoor localization Although there are many radio based technologies that can be used for indoor positioning, WiFi-based indoor localization has been attractive due to its open access and no overhead cost properties. Received Signal Strength Indicator (RSSI) has been adopted in vast indoor localization systems. However, it suffers from dramatic performance degradation in complex situations due to multipath fading and temporal dynamics. The distance estimation based on received signal strength indicator (RSSI) is easily affected by the temporal and spatial variance due to the multipath effect, which contributes to most of the estimation errors in current systems. Channel state information is detail Channel response at subcarrier level. CSI explore the frequency diversity of the subcarriers in orthogonal frequency division multiplexing systems. A novel approach is proposed to utilise Chanel state information to build propagation model and a fingerprinting system at the receiver.
Authors and Affiliations
Bhavin Changela, Mehul Vala, Rahul Vala, Piyush Dalsaniya
Keywords
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