A Framework for Developing Algorithms for Estimating Propagation Parameters from Measurements

Autor: Sayeed, Akbar, Vouras, Peter, Gentile, Camillo, Weiss, Alec, Quimby, Jeanne, Cheng, Zihang, Modad, Bassel, Zhang, Yuning, Anjinappa, Chethan, Erden, Fatih, Ozdemir, Ozgur, Muller, Robert, Dupleich, Diego, Niu, Han, Michelson, 6David, Hughes, 6Aidan
Rok vydání: 2021
Předmět:
Zdroj: IEEE Globecom 2020
Druh dokumentu: Working Paper
Popis: 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.
Databáze: arXiv