Spread Spectrum Symbol Detection With Blind Interference Suppression in FBMC-SS
Recent works have demonstrated Filter Bank Multicarrier Spread Spectrum (FBMC-SS) to be a robust communication scheme in the presence of high-power interferers. Existing FBMC-SS symbol detector designs based on analysis filter banks (AFB) suggest using an optimal combining scheme to suppress the int...
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doaj-80c2c0cede5e4acd9e76d93cb156913f2021-07-19T23:00:53ZengIEEEIEEE Open Journal of the Communications Society2644-125X2021-01-0121630164610.1109/OJCOMS.2021.30903569485119Spread Spectrum Symbol Detection With Blind Interference Suppression in FBMC-SSDavid B. Haab0https://orcid.org/0000-0003-0831-7654Hussein Moradi1Behrouz Farhang-Boroujeny2https://orcid.org/0000-0003-3008-6725Electrical and Computer Engineering Department, University of Utah, Salt Lake City, UT, USASpectrum Innovation Department, Idaho National Laboratory, Idaho Falls, ID, USAElectrical and Computer Engineering Department, University of Utah, Salt Lake City, UT, USARecent works have demonstrated Filter Bank Multicarrier Spread Spectrum (FBMC-SS) to be a robust communication scheme in the presence of high-power interferers. Existing FBMC-SS symbol detector designs based on analysis filter banks (AFB) suggest using an optimal combining scheme to suppress the interferers, necessitating some noise/interference power estimation method. In this paper, we introduce a symbol detector with blind interference suppression by extending a recently developed packet detection method. We then provide an analysis to show that the existing AFB-based symbol detector and the one proposed in this paper are equivalent in typical usage scenarios. A fully-fledged receiver design is proposed utilizing this symbol detector, with specifics presented for estimation of the channel impulse response and carrier frequency offset (CFO). We also outline a method of iterating upon the channel and CFO estimations to improve the quality of both parameters. Moreover, a modification to allow improved performance of the symbol detector at high SNR is provided. Finally, simulated performance results are presented to corroborate these findings and demonstrate the efficiency of this receiver design.https://ieeexplore.ieee.org/document/9485119/Filter bank multicarrierinterference suppressionreceiversspread spectrum communication |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
David B. Haab Hussein Moradi Behrouz Farhang-Boroujeny |
spellingShingle |
David B. Haab Hussein Moradi Behrouz Farhang-Boroujeny Spread Spectrum Symbol Detection With Blind Interference Suppression in FBMC-SS IEEE Open Journal of the Communications Society Filter bank multicarrier interference suppression receivers spread spectrum communication |
author_facet |
David B. Haab Hussein Moradi Behrouz Farhang-Boroujeny |
author_sort |
David B. Haab |
title |
Spread Spectrum Symbol Detection With Blind Interference Suppression in FBMC-SS |
title_short |
Spread Spectrum Symbol Detection With Blind Interference Suppression in FBMC-SS |
title_full |
Spread Spectrum Symbol Detection With Blind Interference Suppression in FBMC-SS |
title_fullStr |
Spread Spectrum Symbol Detection With Blind Interference Suppression in FBMC-SS |
title_full_unstemmed |
Spread Spectrum Symbol Detection With Blind Interference Suppression in FBMC-SS |
title_sort |
spread spectrum symbol detection with blind interference suppression in fbmc-ss |
publisher |
IEEE |
series |
IEEE Open Journal of the Communications Society |
issn |
2644-125X |
publishDate |
2021-01-01 |
description |
Recent works have demonstrated Filter Bank Multicarrier Spread Spectrum (FBMC-SS) to be a robust communication scheme in the presence of high-power interferers. Existing FBMC-SS symbol detector designs based on analysis filter banks (AFB) suggest using an optimal combining scheme to suppress the interferers, necessitating some noise/interference power estimation method. In this paper, we introduce a symbol detector with blind interference suppression by extending a recently developed packet detection method. We then provide an analysis to show that the existing AFB-based symbol detector and the one proposed in this paper are equivalent in typical usage scenarios. A fully-fledged receiver design is proposed utilizing this symbol detector, with specifics presented for estimation of the channel impulse response and carrier frequency offset (CFO). We also outline a method of iterating upon the channel and CFO estimations to improve the quality of both parameters. Moreover, a modification to allow improved performance of the symbol detector at high SNR is provided. Finally, simulated performance results are presented to corroborate these findings and demonstrate the efficiency of this receiver design. |
topic |
Filter bank multicarrier interference suppression receivers spread spectrum communication |
url |
https://ieeexplore.ieee.org/document/9485119/ |
work_keys_str_mv |
AT davidbhaab spreadspectrumsymboldetectionwithblindinterferencesuppressioninfbmcss AT husseinmoradi spreadspectrumsymboldetectionwithblindinterferencesuppressioninfbmcss AT behrouzfarhangboroujeny spreadspectrumsymboldetectionwithblindinterferencesuppressioninfbmcss |
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1721294426383319040 |