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Title: Channel Estimation for Filter Bank Multicarrier Systems in Low SNR Environments

Abstract

Channel estimation techniques are crucial for reliable communications. This paper is concerned with channel estimation in a filter bank multicarrier spread spectrum (FBMCSS) system. We explore two channel estimator options: (i) a method that makes use of a periodic preamble and mimics the channel estimation techniques that are widely used in OFDM-based systems; and (ii) a method that stays within the traditional realm of filter bank signal processing. For the case where the channel noise is white, both methods are analyzed in detail and their performance is compared against their respective Cramer-Rao Lower Bounds (CRLB). Advantages and disadvantages of the two methods under different channel conditions are given to provide insight to the reader as to when one will outperform the other.

Authors:
; ; ;
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1358406
Report Number(s):
INL/CON-16-40261
DOE Contract Number:  
DE-AC07-05ID14517
Resource Type:
Conference
Resource Relation:
Conference: IEEE International Conference on Communications ICC-2017, Paris, France, May 21–26, 2017
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS; AWGN; Cramer- Rao Lower Bounds; CRLB; Cyclic Prefix; Filter Bank; Multi-Carrier; OFDM; Spread Spectrum

Citation Formats

Driggs, Jonathan, Sibbett, Taylor, Moradiy, Hussein, and Farhang-Boroujeny, Behrouz. Channel Estimation for Filter Bank Multicarrier Systems in Low SNR Environments. United States: N. p., 2017. Web. doi:10.1109/ICC.2017.7996516.
Driggs, Jonathan, Sibbett, Taylor, Moradiy, Hussein, & Farhang-Boroujeny, Behrouz. Channel Estimation for Filter Bank Multicarrier Systems in Low SNR Environments. United States. doi:10.1109/ICC.2017.7996516.
Driggs, Jonathan, Sibbett, Taylor, Moradiy, Hussein, and Farhang-Boroujeny, Behrouz. Mon . "Channel Estimation for Filter Bank Multicarrier Systems in Low SNR Environments". United States. doi:10.1109/ICC.2017.7996516. https://www.osti.gov/servlets/purl/1358406.
@article{osti_1358406,
title = {Channel Estimation for Filter Bank Multicarrier Systems in Low SNR Environments},
author = {Driggs, Jonathan and Sibbett, Taylor and Moradiy, Hussein and Farhang-Boroujeny, Behrouz},
abstractNote = {Channel estimation techniques are crucial for reliable communications. This paper is concerned with channel estimation in a filter bank multicarrier spread spectrum (FBMCSS) system. We explore two channel estimator options: (i) a method that makes use of a periodic preamble and mimics the channel estimation techniques that are widely used in OFDM-based systems; and (ii) a method that stays within the traditional realm of filter bank signal processing. For the case where the channel noise is white, both methods are analyzed in detail and their performance is compared against their respective Cramer-Rao Lower Bounds (CRLB). Advantages and disadvantages of the two methods under different channel conditions are given to provide insight to the reader as to when one will outperform the other.},
doi = {10.1109/ICC.2017.7996516},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon May 01 00:00:00 EDT 2017},
month = {Mon May 01 00:00:00 EDT 2017}
}

Conference:
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