Narrowband source localization for indoor wireless environments

Abstract

This paper demonstrates the effectiveness of narrowband source localization techniques in indoor environments. Experiments are conducted using multiple antennas and a network analyzer. An active RF source is placed at different locations in a medium-sized office. Three sensors, placed at known positions, are used to estimate the location of the source using time of arrival (TOA) information. Trilateration is first utilized to obtain an initial estimate for the source location. Constrained optimization is then applied to improve estimation accuracy. In the experiment setup, only one sensor has a line-of-sight (LOS) communication path to the source, while the other two sensors are restricted to a non-line-of-sight setting. Different obstructed line-of-sight (OLOS) biases are physically introduced to demonstrate a real-life situation, where several moving objects may exist between the source and the sensors