The 5G Localization Waveform Ranging Accuracy over Time-Dispersive Channels -- An Evaluation

Kurzfassung

Localization has increasingly become important for a variety of applications and context aware services. Today’s mobile communication terminals exploit existing reference signal structures for propagation delay based positioning. Recently, particular single-parametrized waveforms with adaptable power spectral densities (PSDs) haven been proposed in the context of 5G. These waveforms haven been investigated based on Cramér-Rao lower bounds (CRLBs) and Ziv-Zakai lower bounds (ZZLBs) for multipath-free channels. Time-dispersive channels have neither been investigated theoretically nor numerically. In this work, we make this gap smaller by numerical evaluations of the proposed waveforms.We focus on a simple correlation-based receiver and investigate the resulting ranging error. Our evaluations with varying root mean square (RMS) delay spread and fixed Rician K-factor clearly show, for which particular channels and signal bandwidths specific waveforms and their respective parameters should be chosen. A ranging error reduction of factor 1.2 to more than 5 compared to state of the art reference signals can be obtained. Hence, we pave the way to possibly place a new waveform within the 5G context for improved ranging accuracy compared to state of the art.