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Efficient spectrum sensing for aeronautical LDACS using low-power correlators

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Shreejith, Shanker, Mathew, Libin K., Vinod, A. P. and Fahmy, Suhaib A. (2018) Efficient spectrum sensing for aeronautical LDACS using low-power correlators. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 26 (6). doi:10.1109/TVLSI.2018.2806624

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Official URL: http://dx.doi.org/10.1109/TVLSI.2018.2806624

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Abstract

Air traffic has seen tremendous growth over the last decade pushing the need for enhanced air traffic management schemes. L-band Digital Aeronautical Communication System (LDACS) is gaining traction as a scheme of choice, and aims to exploit the capabilities of modern digital communication techniques and computing architectures. Cognitive radio based approaches have also been proposed for LDACS to improve spectrum efficiency and communication capacity; however, these require intelligent compute capability in aircrafts that enforce limited space and power budgets. This paper proposes the use of multiplierless correlation to enable spectrum sensing in LDACS air-to-ground links, and its integration into the on-board LDACS system. The proposed architecture offers improved performance over traditional energy detection even at low signal to noise ratio (SNR) with lower energy consumption than a multiplier-based correlator, while also assisting in receiver synchronisation. We evaluate the proposed architecture on a Xilinx Zynq FPGA and show that our approach results in 28.3% reduction in energy consumption over the multiplier-based approach. Our results also show that the proposed architecture offers 100% accuracy in detection even at -12dB SNR without requiring additional circuitry for noise estimation, which are an integral part of energy detection based approaches.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Field programmable gate arrays, Air traffic control
Journal or Publication Title: IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Publisher: IEEE
ISSN: 1063-8210
Official Date: June 2018
Dates:
DateEvent
June 2018Published
15 January 2018Accepted
Volume: 26
Number: 6
DOI: 10.1109/TVLSI.2018.2806624
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
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