A Framework for Developing Algorithms for Estimating Propagation Parameters from Measurements
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.
Cite
@article{arxiv.2109.06131,
title = {A Framework for Developing Algorithms for Estimating Propagation Parameters from Measurements},
author = {Akbar Sayeed and Peter Vouras and Camillo Gentile and Alec Weiss and Jeanne Quimby and Zihang Cheng and Bassel Modad and Yuning Zhang and Chethan Anjinappa and Fatih Erden and Ozgur Ozdemir and Robert Muller and Diego Dupleich and Han Niu and 6David Michelson and 6Aidan Hughes},
journal= {arXiv preprint arXiv:2109.06131},
year = {2021}
}