Efficient Techniques and Algorithms for Improving Indoor Localization Precision on WLAN Networks Applications

• 作者: Antonio del CORTE-VALIENTE Jose Manuel GóMEZ-PULIDO Oscar GUTIéRREZ-BLANCO
• 来源期刊: 通讯、网络与系统学国际期刊(英文)
• 学科: 医学
• 关键词: LOCALIZATION Euclidean DISTANCE INTERPOLATION Mahalanobis DISTANCE Faspri Fingerprinting GTD
• 年，卷（期）: 2009,（7）
• 页码范围: 645-651
• 页数: 7页
• 分类号: R73

摘要

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.