A Novel Method for Static and Dynamic Location Sensing in Wlan Network Infrastructure for Indoors

This paper describes a Positioning algorithm that uses the signal strength, RSS, received by a Wireless Local Area Network, to determine user's static and dynamic position. The system improves the positioning accuracy by mitigating multi-path and noise, through an empirical analysis of environment and a prepost cursor mitigator. Most of the systems present in the state of art provide a solution which can not be improved beyond certain point as they are case dependent. The system proposed here, however, is more efficient and adaptive due to its flexible nature as it encounters the error in RSS at two different levels. The mitigation of multi-path at first level decreases the error assuming the channel to be Rice distributed and using delay spread typical to indoors. On second level, it reduces the rest of the error based on empirical analysis of the environment. The algorithm used for static differs from the dynamic location sensing on the second level of error reduction. This gives a lot of scope for improvement in the positioning in later case. Due to the fact that this system is self learning and continuously updating itself as well it is comparatively less burdensome, the problem of dynamic location sensing no more exist. In fact, using proposed methodology, it is more likely to receive accurate positioning information in case of dynamic sensing without using any kind of filters as proposed in the state of art. However, further improvement is possible by incorporating dynamic filters. The implementation complexity is comparatively simple. The results for both static and dynamic sensing, in terms of relative error, is presented for indoor environments. Keywords— RSS (received signal strength), Wireless Local Area Network (WLAN), Wireless Positioning System (WPS), Feature Function, Pre-Post Curser Multi-path Mitigator, Static and Dynamic location sensing.