Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/160296
Title: Design and implementation of low complexity reconfigurable filtered-OFDM-based LDACS
Authors: Agrawal, Niharika
Ambede, Abhishek
Darak, S. J.
Vinod, A. P.
Madhukumar, A. S.
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Source: Agrawal, N., Ambede, A., Darak, S. J., Vinod, A. P. & Madhukumar, A. S. (2021). Design and implementation of low complexity reconfigurable filtered-OFDM-based LDACS. IEEE Transactions On Circuits and Systems II: Express Briefs, 68(7), 2399-2403. https://dx.doi.org/10.1109/TCSII.2021.3053367
Journal: IEEE Transactions on Circuits and Systems II: Express Briefs
Abstract: L-band Digital Aeronautical Communication System (LDACS) aims to exploit vacant spectrum in L-band via spectrum sharing, and orthogonal frequency division multiplexing (OFDM) is the currently accepted LDACS waveform. Recently, various works dealing with improving the spectrum utilization of LDACS via filtering/windowing are being explored. In this direction, we propose an improved and low complexity reconfigurable filtered OFDM (LRef-OFDM) based LDACS using novel interpolation and masking based multi-stage digital filter. The proposed filter is designed to meet the stringent non-uniform spectral attenuation requirements of LDACS standard. It offers significantly lower complexity as well as higher transmission bandwidth than state-of-the-art approaches. We also integrate the proposed filter in our end-to-end LDACS testbed realized using Zynq System on Chip and analyze the performance in the presence of L-band legacy user interference as well as LDACS specific wireless channels. Via extensive experimental results, we demonstrate the superiority of the proposed LRef-OFDM over OFDM and Filtered-OFDM based LDACS in terms of power spectral density, bit error rate, implementation complexity, and group delay parameters.
URI: https://hdl.handle.net/10356/160296
ISSN: 1549-7747
DOI: 10.1109/TCSII.2021.3053367
Schools: School of Computer Science and Engineering 
Rights: © 2021 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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