Multiple Antenna-Aided Cascaded Energy and Matched Filter Detector for Cognitive Radio Networks

A new multiple antenna-aided cascaded energy and matched filter detector (MCEM) for cognitive radio networks is proposed. Our proposed scheme is equipped with multiple receive antennas employing energy efficient energy detector (ED) and reliable matched filter (MF) to mitigate the channel fading and...

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Main Authors: Ashish Rauniyar, Soo Young Shin
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2015-09-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/175943
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author Ashish Rauniyar
Soo Young Shin
author_facet Ashish Rauniyar
Soo Young Shin
author_sort Ashish Rauniyar
collection DOAJ
description A new multiple antenna-aided cascaded energy and matched filter detector (MCEM) for cognitive radio networks is proposed. Our proposed scheme is equipped with multiple receive antennas employing energy efficient energy detector (ED) and reliable matched filter (MF) to mitigate the channel fading and increase the detection performance of the secondary users (SUs). Partial decisions are first made by using cascaded energy and matched filter detector (CEM) at each antenna and then the final collaborative decision is made based on those partial decisions. The probability of detection/false alarm of the proposed scheme is presented in terms of the complementary receiver operating characteristics (ROCs). The performance of MCEM scheme is explored via MATLAB simulations that implement the clear channel assessment (CCA) modules for IEEE 802.15.4. Simulation results showed that our proposed MCEM scheme improves the detection performance and is more energy efficient as compared to CEM scheme employing single antenna and other conventional schemes.
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spelling doaj.art-667bcc6ca45145f682343edbd968cd342023-09-03T01:40:59ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-09-011110.1155/2015/175943175943Multiple Antenna-Aided Cascaded Energy and Matched Filter Detector for Cognitive Radio NetworksAshish RauniyarSoo Young ShinA new multiple antenna-aided cascaded energy and matched filter detector (MCEM) for cognitive radio networks is proposed. Our proposed scheme is equipped with multiple receive antennas employing energy efficient energy detector (ED) and reliable matched filter (MF) to mitigate the channel fading and increase the detection performance of the secondary users (SUs). Partial decisions are first made by using cascaded energy and matched filter detector (CEM) at each antenna and then the final collaborative decision is made based on those partial decisions. The probability of detection/false alarm of the proposed scheme is presented in terms of the complementary receiver operating characteristics (ROCs). The performance of MCEM scheme is explored via MATLAB simulations that implement the clear channel assessment (CCA) modules for IEEE 802.15.4. Simulation results showed that our proposed MCEM scheme improves the detection performance and is more energy efficient as compared to CEM scheme employing single antenna and other conventional schemes.https://doi.org/10.1155/2015/175943
spellingShingle Ashish Rauniyar
Soo Young Shin
Multiple Antenna-Aided Cascaded Energy and Matched Filter Detector for Cognitive Radio Networks
International Journal of Distributed Sensor Networks
title Multiple Antenna-Aided Cascaded Energy and Matched Filter Detector for Cognitive Radio Networks
title_full Multiple Antenna-Aided Cascaded Energy and Matched Filter Detector for Cognitive Radio Networks
title_fullStr Multiple Antenna-Aided Cascaded Energy and Matched Filter Detector for Cognitive Radio Networks
title_full_unstemmed Multiple Antenna-Aided Cascaded Energy and Matched Filter Detector for Cognitive Radio Networks
title_short Multiple Antenna-Aided Cascaded Energy and Matched Filter Detector for Cognitive Radio Networks
title_sort multiple antenna aided cascaded energy and matched filter detector for cognitive radio networks
url https://doi.org/10.1155/2015/175943
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