Design and Implementation of Low Complexity Reconfigurable Filtered-OFDM based LDACS
N. Agrawal, A. Ambede, S. J. Darak, A. P. Vinod, A. S. Madhukumar

TL;DR
This paper presents a low complexity, reconfigurable filtered OFDM design for LDACS that enhances spectrum utilization and performance, validated through extensive experimental analysis on a Zynq-based testbed.
Contribution
It introduces a novel multi-stage digital filter for LDACS, achieving lower complexity and higher bandwidth than existing methods, and demonstrates its effectiveness through real-world testing.
Findings
Superior spectral attenuation and bandwidth performance
Reduced implementation complexity and group delay
Enhanced robustness against interference and wireless channel effects
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPower Line Communications and Noise · PAPR reduction in OFDM · Digital Filter Design and Implementation
