Authors:
Gergely Zachár
and
Gyula Simon
Affiliation:
University of Pannonia, Hungary
Keyword(s):
Sensor Network, Localization, Tracking, Radio-interferometry, Phase Distortion, Fault Tolerance.
Related
Ontology
Subjects/Areas/Topics:
Data Manipulation
;
Multi-Sensor Data Processing
;
Sensor Data Fusion
;
Sensor Networks
Abstract:
Recently radio-interferometric object tracking methods were proposed, which apply inexpensive radio transmitter and receiver nodes to generate and measure radio-interferometric signals. The measured phase values can be used to track the position of one or more moving receivers. In these methods the ideal phase values, calculated from the position of the nodes, are heavily used. Unfortunately, multipath effects in indoor environments can significantly distort the ideal phase values, thus the accuracy and robustness of the former radio-interferometric methods is challenged. In this paper a novel position estimation method is proposed, which is less sensitive and thus more robust to distortions of radio-interferometric space. The performance of the proposed algorithm is compared to that of earlier radio-interferometric object tracking methods using simulations and real measurements.