Abstract
This paper proposes efficient techniques that allow the deploying of high precision location applications for indoor scenarios over Wireless Local Area Networks (WLAN). Firstly, we compare the use of radio frequency (RF) power levels and relative time delays based on ray-tracing as detection methods to estimate the localization of a set of mobile station using the fingerprint technique. Detection method play an important role in applications of high frequencies techniques for locations systems based on current and emerging standards such as Wi-Fi (802.11x) and Wi-Max (802.16x). The localization algorithm computes the Eucli- dean distance between the samples of signals received from each unknown position and each fingerprint stored in the database or radio-map obtained using the FASPRI simulation tool. Experimental results show that more precision can be obtained in the localization process by means of relative delay instead of RF power detection method. Secondly, the Euclidean distance has been compared with others similarity distance measures. Finally, an interpolation algorithm between the fingerprinting weighing based on the distances has been implemented in order to eliminate those fingerprints that do not contribute to the improvement in the accuracy. These techniques allow obtaining more precision in the localization of indoor mobile devices over WLAN networks.
Highlights
In this work the problem of indoor localization based on the signals available from the wireless devices [1,2] that comprise the Wi-Fi and Wi-Max standards is presented
An interpolation algorithm between the fingerprinting weighing based on the distances has been implemented in order to eliminate those fingerprints that do not contribute to the improvement in the accuracy
In traditional indoor localization systems based on Wi-Fi networks, the Euclidean distance is used as a metric in the localization process and the fingerprinting technique is based on the power levels detected by means of the received signal strength indicator (RSSI) parameter available on the 802.11x standard between the radio frequency (RF) power levels of the received signals and the samples stored in the database or radio-map
Summary
In this work the problem of indoor localization based on the signals available from the wireless devices [1,2] that comprise the Wi-Fi and Wi-Max standards is presented. The localization process is done by using the fingerprinting technique [3,4] that operate the relationship between the power levels and the relative delays between signals due to multipath reflections. In traditional indoor localization systems based on Wi-Fi networks, the Euclidean distance is used as a metric in the localization process and the fingerprinting technique is based on the power levels detected by means of the received signal strength indicator (RSSI) parameter available on the 802.11x standard between the radio frequency (RF) power levels of the received signals and the samples stored in the database or radio-map. In a previous work [8] the fingerprinting technique has been implemented using the relative delays as fingerprint and the Euclidean distance as metric.
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