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Iterative Channel Estimation/Detection for DZT-OTFS Using Superimposed Pilot Frames

Yogesh, V and Rao Mattu, S and Chockalingam, A (2024) Iterative Channel Estimation/Detection for DZT-OTFS Using Superimposed Pilot Frames. In: 99th IEEE Vehicular Technology Conference, VTC2024-Spring 2024, 24 June 2024through 27 June 2024, Singapore.

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Official URL: https://doi.org/10.1109/VTC2024-Spring62846.2024.1...

Abstract

Motivated by its inherent robustness to Doppler spread, Zak transform-based orthogonal time-frequency space (OTFS) modulation has emerged as a promising candidate for next-generation wireless technologies, particularly in the 6G and beyond framework. In this paper, we introduce a novel channel estimation algorithm for discrete Zak transform (DZT)-based OTFS, employing a superimposed pilot frame structure and capable of accommodating arbitrary pulse shapes and fractional delay-Dopplers (DD). The proposed algorithm leverages the DD channel invariance across multiple OTFS frames, which offers the benefit of multiple measurements in channel estimation. Extensive simulation results demonstrate that the proposed algorithm achieves good bit error rate (BER) and normalized mean square error (NMSE) performance, showcasing its effectiveness in practical communication settings. Impact of the use of different detectors on the iterative channel estimation/ detection performance is also studied. © 2024 IEEE.

Item Type: Conference Paper
Publication: IEEE Vehicular Technology Conference
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to the publishers.
Keywords: Channel estimation; Frequency estimation; Image coding; Image compression; Image thinning; Quadrature phase shift keying; Z transforms, Delay-dopple domain; Discrete zak transform; Doppler; Doppler-spread; Iterative channel estimation; Iterative channel estimation/detection; Orthogonal time-frequency space modulation; Pilot frame; Superimposed pilots; Time-frequency space, Mean square error
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 16 Nov 2024 13:51
Last Modified: 16 Nov 2024 13:51
URI: http://eprints.iisc.ac.in/id/eprint/86722

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