GPS is commonly used for navigation. But Location estimation in indoor environments is not possible using GPS, as GPS signals cannot work in indoor environment. In indoor localization there is a huge impact of multipath parameters like shadowing, reflection, refraction, diffraction phenomena which have an impact on the position estimation which leads to inaccurate localization. Large number of Access Points (APs) equipped with single antenna could receive enough Receive Signal Strength (RSS) information that gives information about signal characteristics of the target area. But this results in a large cost of deployment. Various localization methods available are: TDOA, TOA, AOA, Location Finger Printing, GPS and RSSI.However in all these approaches the localization depends either on distance or on angle or on time only. In this paper the hybrid mechanism of range and angle measurements is considered. This proposed mechanism will provide an indoor positioning solution using the smart antenna architecture to increase the location estimation accuracy using mode of RSSI values followed by adaptive filtering.
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