ProjectsProject Details

Distance Estimation from a Sampled Transfer Function

Project ID: 6292-2-21
Year: 2021
Student/s: Yasmine Obeid-Zoabi, Dana Maklada
Supervisor/s: Michael Dikshtein, Alon Eilam

High precision indoor position estimation enables new opportunities for a variety of commercial, industrial and consumer applications. In this work, we consider a phase-based method to calculate range from noisy measurements of a Frequency Comb in a multi-fading environment. It can be used to determine the range between devices for the next-generation High Accuracy Distance Measurement (HADM) protocol.
We have conducted a quantitative analysis of various estimation approaches, considering both Monte-Carlo simulations of synthetic data in a variety of ranges. Moreover, we have proposed evaluation schemes for situations in which only a subset of data is available and some information may be missing, which extends existing approaches.

Poster for Distance Estimation from a Sampled Transfer Function
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Intel