@inproceedings{1460ec2154144d8982e85ac9379a7dc2,
title = "Performance Analysis of Superimposed Pilot Channel Estimation for OTFS in Fractional Doppler Channels",
abstract = "Orthogonal Time Frequency Space (OTFS) modulation is a promising technology for 6G and beyond, as it overcomes severe Doppler shifts in high-mobility environments. However, physical channel paths introduce fractional Doppler shifts that cause inter-Doppler interference. Conventional pilot-based channel estimation mitigates this by transmitting pilots in time-multiplexed frames (block pilots), which degrades spectral efficiency. In this study, a Superimposed Pilot (SP) based channel estimation architecture for OTFS is implemented and evaluated against Block Pilot, Pseudo-Noise sequence, and Ideal Channel State Information methods. By overlaying the pilot directly onto the data across the delay-Doppler grid, the need for dedicated pilot time slots is eliminated. Simulation results under 3GPP Extended Vehicular A conditions at 500 km/h show that the SP scheme achieves higher throughput than the Block Pilot scheme while maintaining comparable reliability at high signal-to-noise ratio.",
keywords = "Channel Estimation, Fractional Doppler, OTFS, Superimposed Pilot",
author = "Ozan Kaya and Samuel Sani and Mikail Erdem and Ozgur Gurbuz and Khalid Qaraqe",
note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 34th Signal Processing and Communications Applications Conference, SIU 2026 ; Conference date: 07-07-2026 Through 10-07-2026",
year = "2026",
doi = "10.1109/SIU71813.2026.11636808",
language = "English",
series = "SIU 2026 - 34th Signal Processing and Communications Applications Conference, Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "SIU 2026 - 34th Signal Processing and Communications Applications Conference, Conference Proceedings",
address = "United States",
}