Widely-Linear Processing of Faster-than-Nyquist Signaling in the Presence of IQ Imbalance
Date
2025-09-25
Authors
Ismael, Fouad
Bedeer, Ebrahim
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IEEE
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Article
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Abstract
Faster-than-Nyquist (FTN) signaling is a promising approach to increase the spectral efficiency (SE) of next-generation wireless communication systems. In this paper, we investigate the detection of FTN signaling in the presence of in-phase and quadrature (IQ) imbalance in frequency-selective fading channels. We show that IQ imbalance at the transmitter and the receiver of FTN signaling results in an image of the transmit and the received signal, respectively, and this image represents an additional interference. We use concepts from widely linear processing to exploit the correlation between the received signal and its complex conjugate. In particular, we propose a widely-linear minimum mean square error (WL-MMSE) algorithm to estimate the transmit FTN signaling in the presence of IQ imbalance and frequency-selective channels. We additionally prove that the mean square error (MSE) of the proposed WL-MMSE is small than its counterpart of the linear-MMSE (L-MMSE). Simulation results verify our findings in terms of bit error rate (BER) and MSE performance.
Description
Accepted version of the final published conference paper: Widely-Linear processing of Faster-than-Nyquist signaling in the presence of IQ imbalance. (2024, June 24). IEEE Conference Publication | IEEE Xplore. https://ieeexplore.ieee.org/document/10683514
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Keywords
Wireless communication, Vehicular and wireless technologies, Transmitters, Spectral efficiency, Simulation, Bit error rate, Mean square error methods
Citation
Widely-Linear processing of Faster-than-Nyquist signaling in the presence of IQ imbalance. (2024, June 24). IEEE Conference Publication | IEEE Xplore. https://ieeexplore.ieee.org/document/10683514
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DOI
10.1109/VTC2024-Spring62846.2024.10683514