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Blind signal-to-interference-plus-noise ratio estimation of OFDM/OQAM system in radio frequency interference environment.

Authors :
Kumar, J. Tarun
Sridevi, C. H.
Kumar, V. Sandeep
Source :
Soft Computing - A Fusion of Foundations, Methodologies & Applications. Jan2023, Vol. 27 Issue 1, p529-536. 8p.
Publication Year :
2023

Abstract

Based on cyclostationarity properties of Orthogonal Frequency Division Multiplexing with Offset Quadrature Amplitude Modulation (OFDM/OQAM) signal, a novel blind signal-to-interference-plus-noise ratio (SINR) estimation method for OFDM/OQAM system in the presence of Radio Frequency Interference (RFI) is proposed. By analyzing the power distribution of cyclic correlation of transmitted signal, RFI and AWGN, by appropriately selecting the time delay variable and cyclic frequency of the OFDM/OQAM signal, the signal and interference plus noise power could be efficiently isolated in the power domain, which formed the SINR estimation method. Computer simulation results verify that the performance of the proposed method is superior to that of second-order and fourth-order moments (M2M4) method and the complexity of the new method is also lower than that of M2M4 method. The proposed method can effectively estimate SINR under the fast-fading Rayleigh channel and is robust to the density of RFI signal. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14327643
Volume :
27
Issue :
1
Database :
Academic Search Index
Journal :
Soft Computing - A Fusion of Foundations, Methodologies & Applications
Publication Type :
Academic Journal
Accession number :
161102509
Full Text :
https://doi.org/10.1007/s00500-021-05857-4