A high resolution time-reversal based approach for indoor localization using commodity WiFi devices

We study the effect of multipath component and bandwidth on the performance of the existing time-reversal(TR) based fingerprinting localization approaches. We find that localization accuracy of these approaches deteriorates with limited bandwidth. To improve the localization performance, we propose a high resolution time reversal approach, i.e., TR-Phase, through jointly considering two unique location-specified signatures extracted from channel state information. Experimental results are presented to confirm that the proposed approach can efficiently mitigate accuracy deterioration with limited bandwidth and consequently achieve higher resolution compared with the existing TR localization approaches.