A Message Transmission Scheme for Linear Time-Varying Multipath Channels

Kaplan, Alihan; Pohl, Volker; Lee, Dae Gwan

doi:10.1109/spawc48557.2020.9154342

Cited by 3 publications

(2 citation statements)

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“…But is communication still possible in the absence of CSI or when the estimated CSI is not reliable in the data transmission step? Interestingly, apart from [18][19][20] there seems to be only little work considering data transmission over LTV channels without previously estimated CSI.…”

Section: Introductionmentioning

confidence: 99%

“…The main difference of the suggested scheme to the previously developed methods in [19,20] is that both require the delay-Doppler shifts to lie on a grid on the time-frequency plane and in both, first, the CSI was obtained before decoding the message symbols. Especially, [20] considers multipath LTV channels, but there it is crucial to have an exact description of the antenna array response. In this paper the proposed approach does not require an a priori estimate of the antenna array response function.…”

Section: Introductionmentioning

confidence: 99%

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Message Transmission Over Rapidly Time-Varying Channels

Kaplan

Pohl

2021

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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This paper presents a new method on transmitting data over linear time-variant (LTV) channels when no channel state estimation (CSI) is accessible. The considered receiver is equipped with multiple antennas and observes a superposition of delay-Doppler shifted versions of the transmitted signal. The messages are coded with known waveforms and are estimated by the receiver using a modified version of the multiple signal classification (MUSIC) algorithm. Although, the transmission scheme is designed for a multi-antenna receiver, the suggested method does not utilize the spatial signatures of multipath scatterers. Hence, the array response of the antenna setup is not required to be known in order to obtain a reliable estimate of the message. The effectiveness of the proposed transmission scheme is illustrated by numerical simulations. Index Terms-Communication without channel estimation, data transmission over linear time-varying channels, application of the MUSIC algorithm to message estimation

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Section: Introductionmentioning

confidence: 99%