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Non-Coherent OFDM Transmission via Off-the-Grid Joint Channel and Data Estimation

Bigdeli, Masoud; Fathi, Hamid; Valiulahi, Iman; Masouros, Christos; (2023) Non-Coherent OFDM Transmission via Off-the-Grid Joint Channel and Data Estimation. IEEE Wireless Communications Letters , 12 (1) 99 -103. 10.1109/lwc.2022.3218187. Green open access

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Abstract

Pilot-aided channel estimation techniques are known to waste the spectral bandwidth. An off-the-grid blind estimator for time-variant orthogonal frequency division multiplexing (OFDM) systems is studied in this letter. In this regard, we propose a blind estimator based on atomic norm minimization (ANM) for OFDM systems. To do so, at the first transmission block, using a lifted ANM (LANM) and simple constraint on ℓ2 norm of data, we simultaneously estimate the channel and data. For the subsequent blocks, we use a penalized ANM (PANM) to simultaneously track the channel’s parameters and detect transmit signals. The proposed problems require an infinitedimensional search, hence are NP-hard. Therefore, we propose two semidefinite programs (SDPs) to implement them. We then derive the total computational complexity of the proposed estimator. The simulation results show the superiority of the proposed estimator to the state-of-the-arts.

Type: Article
Title: Non-Coherent OFDM Transmission via Off-the-Grid Joint Channel and Data Estimation
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/lwc.2022.3218187
Publisher version: https://doi.org/10.1109/LWC.2022.3218187
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Blind OFDM channel estimation, lifted and penalized atomic norm minimization, semidefinite program (SDP)
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10159744
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