TY - GEN
T1 - A Method of Estimating Sparse and Doubly-Dispersive Channels
AU - Hunt, Brandon T.
AU - Haab, David B.
AU - Moradi, Hussein
AU - Farhang-Boroujeny, Behrouz
N1 - Funding Information:
This manuscript has been authored by Battelle Energy Alliance, LLC under Contract No. DE-AC07-05ID14517 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paidup, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. STI Number: INL/CON-23-72540
Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Using pilot-symbol assisted modulation, we develop a method to acquire channel information from signals received in low-SNR environments. First, we estimate the power-delay profile (PDP) of the channel. Then, we apply information from that estimate to obtain the channel coefficients only at points where the PDP is nonzero. Because we estimate a reduced number of channel coefficients, the complexity and estimation error are simultaneously reduced. We present a case study of the proposed estimation method when applied to a wideband skywave high frequency (HF) channel. Through this study, we find that the proposed approach has significantly enhanced performance when compared to an existing method that does incorporate sparsity information into its estimate. The improved low-SNR performance of the proposed estimator makes it particularly well suited for spread-spectrum and underlay waveforms.
AB - Using pilot-symbol assisted modulation, we develop a method to acquire channel information from signals received in low-SNR environments. First, we estimate the power-delay profile (PDP) of the channel. Then, we apply information from that estimate to obtain the channel coefficients only at points where the PDP is nonzero. Because we estimate a reduced number of channel coefficients, the complexity and estimation error are simultaneously reduced. We present a case study of the proposed estimation method when applied to a wideband skywave high frequency (HF) channel. Through this study, we find that the proposed approach has significantly enhanced performance when compared to an existing method that does incorporate sparsity information into its estimate. The improved low-SNR performance of the proposed estimator makes it particularly well suited for spread-spectrum and underlay waveforms.
UR - http://www.scopus.com/inward/record.url?scp=85182406751&partnerID=8YFLogxK
U2 - 10.1109/MILCOM58377.2023.10356218
DO - 10.1109/MILCOM58377.2023.10356218
M3 - Conference contribution
AN - SCOPUS:85182406751
T3 - MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment
SP - 622
EP - 628
BT - MILCOM 2023 - 2023 IEEE Military Communications Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Military Communications Conference, MILCOM 2023
Y2 - 30 October 2023 through 3 November 2023
ER -