A Framework for Developing Algorithms for Estimating Propagation Parameters from Measurements

Published

March 5, 2021

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

Pub Type

Conferences

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 2, 2024)