Achieving Sub-meter Accuracy for 5G Localization at FR1 Bandwidth Limitations

This Paper describes an approach to achieve improved localization accuracy in indoor and other scenarios with close line of sight and echo paths. The approach makes use of statistical commonalities of the channel impulse response, arriving from line of sight and echo paths superposition. By using a rising edge detection algorithm, the presented approach achieves an accuracy of less than one meter for line-of-sight scenarios at 5G FRl bandwidth limitations. The paper presents results derived from simulation and measurement to support the proposed approach. Compared to conventional peak detection algorithms, the accuracy increases by a factor of at least two.