隨著智慧型手機的普及，適地性服務(Location Based Service, LBS)的應用越來越多。然而GPS在室內環境訊號微弱，定位服務因而無法使用，故需要發展新的室內定位技術。本論文提出了利用微基地台(femtocell)以訊號特徵法作室內定位的構想。微基地台是近幾年推出來改善3G基地台在室內覆蓋率不足的問題。它有低功率、低成本等優點，適合當室內定位的訊號源。訊號特徵法則是先建立室內環境訊號強度的資料庫，再將使用者測量到的訊號強度與資料庫進行比對，進而計算出使用者所在位置。本文所使用的特徵演算法有最近鄰居法(Nearest Neighbor Algorithm)和機率判定法(Probabilistic Algorithm)。實驗結果證明了用微基地台作室內定位是可行的。將來若能結合到智慧型手機上，更能增加此室內定位系統的應用範圍與便利性。

The widespread smartphones promote the booming of location-based service (LBS) applications. However, GPS signal is too weak to use in indoor surrounding. Thus, there is a demand for new positioning technology for indoor environment. This thesis proposes an indoor localization technology by adopting femtocell via fingerprinting methods. Femtocell is considered as a solution to improving the problems of 3G mobile communications indoor such as inadequate coverage. Its advantages such as low cost and low power are appropriate to be used as beacon stations for indoor positioning. The positioning algorithms adopted in this thesis are the nearest neighbor algorithm and probabilistic algorithm. The results of experiments verify it is practical to utilize femtocell for the indoor positioning. If this system can combine with smartphones in future, the applications and convenience of the system can be improved.

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