Jamming Detection and Suppression Technique for OTFS Systems in an AWGN Channel

Orthogonal time frequency space (OTFS) modulation is a promising waveform for future wireless communication, offering robustness against time-varying channels and Doppler effects in high-mobility scenarios. However, the anti-jamming capabilities of OTFS systems remain underexplored, leaving gaps in understanding their potential in jamming-prone environments. In this work, we mainly focus on the jamming detection and suppression methods for OTFS systems in additive an white Gaussian noise (AWGN) channel. A frequency-domain anti-jamming technique is presented, employing a time-domain overlapping window approach to reduce jamming sidelobes while mitigating the signal-to-noise ratio (SNR) degradation caused by the window function. Additionally, a smoothing window method is introduced to provide stable samples for jamming detection, effectively reducing the false alarm rate. Furthermore, a low-complexity improved forward consecutive mean excision (FCME) algorithm is proposed, enhancing its practicality and making it more suitable for real-world applications. Finally, the effectiveness of the proposed anti-jamming methods is validated through simulation analyses under single-tone and partial-band jamming scenarios.