Prediction-aided Radio-interferometric Object Tracking

In this paper a novel robust radio-interferometric object tracking method is proposed. The system contains fixed infrastructure transmitter nodes generating interference signals, the phases of which are measured by the tracked receivers and other fixed infrastructure nodes. From the measured phase values a confidence map is computed, which is used to generate the track of the moving receivers. The proposed method enhances the track estimation by an adaptive evaluation method of the confidence map, and also provides more robust estimation by allowing bad or missing measurements, which are tolerated by predictions extracted from the evolution of the confidence map in time. The performance of the proposed system is illustrated by real measurements.