Neural network based Geo-Regioning

The large bandwidth of Ultra-Wideband (UWB) signals induces a high temporal resolution of the multipath components of the propagation channel. Due to the variation of the propagation paths for different positions of the transmitter, a CIR can act as a fingerprint for the position of the transmitter, if the position of the receiver is known. UWB Geo-Regioning is a coarse localization or clustering method based on channel impulse response fingerprinting . In this paper, neural networks are used to perform Geo-Regioning. As input vector, either the complex values or the power values of the CIR are used. In order to test the performance of the Geo-Regioning with neural networks, the CIRs from the measurement campaign in are used.