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Sparse Delay-Doppler Channel Estimation in Rapidly Time-Varying Channels for Multiuser OTFS on the Uplink

Rasheed, OK and Surabhi, GD and Chockalingam, A (2020) Sparse Delay-Doppler Channel Estimation in Rapidly Time-Varying Channels for Multiuser OTFS on the Uplink. In: 91st IEEE Vehicular Technology Conference, VTC Spring 2020, 25-28 May 2020, Antwerp; Belgium.

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Official URL: https://dx.doi.org/10.1109/VTC2020-Spring48590.202...

Abstract

Orthogonal time frequency space (OTFS) modulation is a new modulation scheme that operates in the delay-Doppler (DD) domain. In this paper, we consider the problem of delay-Doppler channel estimation in OTFS multiple access (OTFS-MA) systems on the uplink. Recognizing the inherent sparse nature of the delay-Doppler (DD) representation of time-varying channels, we model the DD channel estimation problem as a sparse signal recovery problem. To solve this problem, we employ compressed sensing (CS) based estimation techniques. Specifically, we present orthogonal matching pursuit (OMP) and modified subspace pursuit (MSP) based algorithms for DD channel estimation in uplink OTFS-MA. We compare the performance of the proposed CS-based estimation schemes with that of the impulse based channel estimation scheme reported in the OTFS literature. The proposed CS-based algorithms are shown to achieve superior normalized mean squared error and bit error performance compared to those of the impulse based channel estimation scheme. © 2020 IEEE.

Item Type: Conference Paper
Additional Information: cited By 0; Conference of 91st IEEE Vehicular Technology Conference, VTC Spring 2020 ; Conference Date: 25 May 2020 Through 28 May 2020; Conference Code:161536
Keywords: Compressed sensing; Mean square error; Modulation; Signal reconstruction; Springs (components); Time varying networks, Compressive sensing; Estimation techniques; Normalized mean squared errors; Orthogonal matching pursuit; Rapidly time varying channels; Sparse signal recoveries; Time varying channel; Time-frequency space, Channel estimation
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Depositing User: Id for Latest eprints
Date Deposited: 09 Oct 2020 06:16
Last Modified: 09 Oct 2020 06:16
URI: http://eprints.iisc.ac.in/id/eprint/66173

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