A cyclic prefix assisted spectrum sensing method for aeronautical communication systems

Continuous growth of air-traffic demands new technologies for future aeronautical communication systems. L-band Digital Aeronautical Communications System (LDACS) is considered as a potential candidate for the future air-to-ground links. Spectrum utilization efficiency of LDACS can be improved by en...

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Main Authors: Mathew, Libin K., Vinod, A. P., Madhukumar, A. S.
Other Authors: School of Computer Science and Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/144689
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1446892020-11-19T01:46:14Z A cyclic prefix assisted spectrum sensing method for aeronautical communication systems Mathew, Libin K. Vinod, A. P. Madhukumar, A. S. School of Computer Science and Engineering 2019 IEEE International Symposium on Circuits and Systems (ISCAS) Engineering::Computer science and engineering Sensors Feature Detection Continuous growth of air-traffic demands new technologies for future aeronautical communication systems. L-band Digital Aeronautical Communications System (LDACS) is considered as a potential candidate for the future air-to-ground links. Spectrum utilization efficiency of LDACS can be improved by enabling dynamic spectrum access (DSA) in the system. In this context, the present paper proposes a novel cyclostationary feature detection scheme based on the periodicity of the autocorrelation of LDACS signals for spectrum sensing, which is key requirement in DSA. A wideband spectrum sensing simulation model is developed to evaluate the detection performance of the proposed scheme. To improve the adaptability of the spectrum sensing unit to variable wide bandwidth, the proposed system uses interpolation and masking based filters that can extract individual LDACS channels from the wide-band signals. Results of simulation studies show that the proposed scheme provides better detection accuracy against the conventional cyclostationary feature detection scheme and energy detection scheme, while maintaining the false alarm rates to an acceptable level which balances the overall throughput of the system. Accepted version 2020-11-19T01:46:13Z 2020-11-19T01:46:13Z 2019 Conference Paper Mathew, L. K., Vinod, A. P., & Madhukumar, A. S. (2019). A cyclic prefix assisted spectrum sensing method for aeronautical communication systems. Proceedings of the 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5. doi:10.1109/ISCAS.2019.8702336 978-1-7281-0397-6 https://hdl.handle.net/10356/144689 10.1109/ISCAS.2019.8702336 1 5 en © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ISCAS.2019.8702336 application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
Sensors
Feature Detection
spellingShingle Engineering::Computer science and engineering
Sensors
Feature Detection
Mathew, Libin K.
Vinod, A. P.
Madhukumar, A. S.
A cyclic prefix assisted spectrum sensing method for aeronautical communication systems
description Continuous growth of air-traffic demands new technologies for future aeronautical communication systems. L-band Digital Aeronautical Communications System (LDACS) is considered as a potential candidate for the future air-to-ground links. Spectrum utilization efficiency of LDACS can be improved by enabling dynamic spectrum access (DSA) in the system. In this context, the present paper proposes a novel cyclostationary feature detection scheme based on the periodicity of the autocorrelation of LDACS signals for spectrum sensing, which is key requirement in DSA. A wideband spectrum sensing simulation model is developed to evaluate the detection performance of the proposed scheme. To improve the adaptability of the spectrum sensing unit to variable wide bandwidth, the proposed system uses interpolation and masking based filters that can extract individual LDACS channels from the wide-band signals. Results of simulation studies show that the proposed scheme provides better detection accuracy against the conventional cyclostationary feature detection scheme and energy detection scheme, while maintaining the false alarm rates to an acceptable level which balances the overall throughput of the system.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Mathew, Libin K.
Vinod, A. P.
Madhukumar, A. S.
format Conference or Workshop Item
author Mathew, Libin K.
Vinod, A. P.
Madhukumar, A. S.
author_sort Mathew, Libin K.
title A cyclic prefix assisted spectrum sensing method for aeronautical communication systems
title_short A cyclic prefix assisted spectrum sensing method for aeronautical communication systems
title_full A cyclic prefix assisted spectrum sensing method for aeronautical communication systems
title_fullStr A cyclic prefix assisted spectrum sensing method for aeronautical communication systems
title_full_unstemmed A cyclic prefix assisted spectrum sensing method for aeronautical communication systems
title_sort cyclic prefix assisted spectrum sensing method for aeronautical communication systems
publishDate 2020
url https://hdl.handle.net/10356/144689
_version_ 1688665287271907328