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A Framework for Developing Algorithms for Estimating Propagation Parameters from Measurements

Published

Author(s)

Camillo Gentile, Jeanne Quimby

Abstract

A framework is proposed for developing and evaluating algorithms for extracting multipath propagation components (MPCs) from measurements collected by sounders at millimeter-wave (mmW) frequencies. To focus on algorithmic performance, an idealized model is proposed for the spatial frequency response of the propagation environment measured by a sounder. The input to the sounder model is a pre-determined set of MPC parameters that serve as the "ground truth". A three-dimensional angle-delay (beamspace) representation of the measured spatial frequency response serves as a natural domain for implementing and analyzing MPC extraction algorithms. Metrics for quantifying the error in estimated MPC parameters are introduced. Initial results are presented for a greedy matching pursuit algorithm that performs a least-squares (LS) reconstruction of the MPC path gains within the iterations. The results indicate that the simple greedy-LS algorithm has the ability to extract MPCs over a large dynamic range, and suggest several avenues for further performance improvement through extensions of the greedy-LS algorithm as well as by incorporating features of other algorithms, such as SAGE and RIMAX.
Proceedings Title
2020 IEEE Globecom Workshops (GC Wkshps)
Conference Dates
December 7-11, 2020
Conference Location
virtual, TW
Conference Title
2020 IEEE Globecom Workshops

Citation

Gentile, C. and Quimby, J. (2021), A Framework for Developing Algorithms for Estimating Propagation Parameters from Measurements, 2020 IEEE Globecom Workshops (GC Wkshps) , virtual, TW (Accessed May 22, 2024)

Issues

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Created March 5, 2021, Updated November 29, 2022