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Title: Spread Spectrum Symbol Detection With Blind Interference Suppression in FBMC-SS

Journal Article · · IEEE Open Journal of the Communications Society
 [1];  [2];  [1]
  1. Univ. of Utah, Salt Lake City, UT (United States)
  2. Idaho National Lab. (INL), Idaho Falls, ID (United States)

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.

Research Organization:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Organization:
USDOE Office of Environment, Health, Safety and Security (AU)
Grant/Contract Number:
AC07-05ID14517
OSTI ID:
1845451
Report Number(s):
INL/JOU-21-61654; TRN: US2302456
Journal Information:
IEEE Open Journal of the Communications Society, Vol. 2; ISSN 2644-125X
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English