Abstract
The paper proposes an Indoor Localization System (ILS) which uses only one fixed Base Station (BS) with simple non-reconfigurable antennas. The proposed algorithm measures Received Signal Strength (RSS) and maps it to the location in the room by estimating signal strength of a direct line of sight (LOS) signal and signal of the first order reflection from the wall. The algorithm is evaluated through both simulations and empirical measurements in a furnished open space office, sampling 21 different locations in the room. It is demonstrated the system can identify user’s real-time location with a maximum estimation error below 0.7 m for 80% confidence Cumulative Distribution Function (CDF) user level, demonstrating the ability to accurately estimate the receiver’s location within the room. The system is intended as a cost-efficient indoor localization technique, offering simplicity and easy integration with existing wireless communication systems. Unlike comparable single base station localization techniques, the proposed system does not require beam scanning, offering stable communication capacity while performing the localization process.
Highlights
Localization has gained much attention due to its common usage in a plethora of applications, such as asset tracking, navigation, or communication [1,2]
Our target to propose a method which can increase the accuracy without relying on additional devices by utilizing only single base station
The result is achieved by using a single base station, allowing for simplicity and significant cost savings
Summary
Localization has gained much attention due to its common usage in a plethora of applications, such as asset tracking, navigation, or communication [1,2]. One of the requirements for modern mobile systems is the capability to locate the user’s Mobile Station (MS) [3,4]. Several techniques have been developed for this purpose, offering various accuracies at the price of complexity. A ubiquitous mobile localization system for both indoor and outdoor scenarios, able to track the MS anywhere, is not available yet.
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