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AUTHOR(S): Maha George Zia
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TITLE Kernel RLS Equalizer for Orthogonal Time Frequency Space Signaling (OTFS) |
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ABSTRACT Orthogonal Time Frequency Space (OTFS) modulation has emerged as a promising waveform for high-mobility wireless communications because it exploits the delay-Doppler domain to improve robustness over time-varying multipath channels. Nevertheless, nonlinear distortion and multipath fading can degrade orthogonality and lead to poor bit error rate (BER) performance. In this paper, a kernel recursive least squares (KRLS)-based nonlinear equalizer is integrated with the overlap-save method (OSM) to mitigate channel impairments in OTFS systems operating over the Extended Vehicular A (EVA) channel model. A modified KRLS algorithm is also introduced to improve numerical stability and reliability. Simulation results show that the proposed OTFS system using modified KRLS with OSM achieves better BER performance than kernel least mean square (KLMS), kernel affine projection (KAP), and traditional KRLS equalizers, demonstrating its effectiveness for high-mobility scenarios. |
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KEYWORDS OTFS modulation, kernel recursive least (KRLS), nonlinear adaptive filter, frequency domain equalizer, adaptive equalizer, overlap-save method |
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Cite this paper Maha George Zia. (2026) Kernel RLS Equalizer for Orthogonal Time Frequency Space Signaling (OTFS). International Journal of Communications, 11, 1-7 |
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