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Adaptive FCME-based threshold setting for energy detectors

Published: 26 October 2011 Publication History

Abstract

The detection threshold setting and noise uncertainty are known to be critical aspects for energy detectors. Adaptive methods for threshold setting outperform non-adaptive methods due to flexibility and robustness. There exists several adaptive threshold setting methods of which the forward consecutive mean excision (FCME) algorithm is among the most attractive ones since it is blind, computationally simple and efficient. However, in some situations, it may give a too large threshold. We propose to apply median filtering with the FCME. Real-life real-time measurement results show that proposal enables more stable thresholds even in the situations when there are no signal-free reference samples for the initial threshold computing.

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  • (2021)Practical Implementation of Adaptive Threshold Energy Detection using Software Defined RadioIEEE Transactions on Aerospace and Electronic Systems10.1109/TAES.2020.304005957:2(1227-1241)Online publication date: Apr-2021
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      cover image ACM Other conferences
      CogART '11: Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
      October 2011
      372 pages
      ISBN:9781450309127
      DOI:10.1145/2093256
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • Universitat Pompeu Fabra
      • IEEE
      • Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
      • River Publishers: River Publishers
      • CTTC: Technological Center for Telecommunications of Catalonia
      • CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 26 October 2011

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      Author Tags

      1. detection threshold
      2. estimation
      3. noise floor

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      • Technical University of Catalonia Spain
      • River Publishers
      • CTTC
      • CTIF

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      View all
      • (2021)Practical Implementation of Adaptive Threshold Energy Detection using Software Defined RadioIEEE Transactions on Aerospace and Electronic Systems10.1109/TAES.2020.304005957:2(1227-1241)Online publication date: Apr-2021
      • (2020)Adaptive threshold techniques for cognitive radio‐based low power wide area networkTransactions on Emerging Telecommunications Technologies10.1002/ett.390831:4Online publication date: 12-Apr-2020
      • (2019)Robust approach for AMC in frequency selective fading scenarios using unsupervised sparse‐autoencoder‐based deep neural networkIET Communications10.1049/iet-com.2018.568813:4(423-432)Online publication date: Mar-2019
      • (2019)A cuckoo search optimization-based forward consecutive mean excision model for threshold adaptation in cognitive radioSoft Computing10.1007/s00500-019-04481-7Online publication date: 3-Nov-2019
      • (2016)Adaptive threshold based frequency exclusion algorithm for broadband PLC2016 International Symposium on Power Line Communications and its Applications (ISPLC)10.1109/ISPLC.2016.7476284(76-80)Online publication date: Mar-2016
      • (2015)Threshold setting for the evaluation of the aggregate interference in ISM band in hospital environments2015 9th International Symposium on Medical Information and Communication Technology (ISMICT)10.1109/ISMICT.2015.7107489(20-24)Online publication date: Mar-2015
      • (2015)Cascaded Energy Detector and Matched Filter-Clear Channel Assessment for Wireless NetworkWireless Personal Communications: An International Journal10.1007/s11277-015-2713-784:4(2427-2443)Online publication date: 1-Oct-2015
      • (2013)On the Measurement of Duty Cycle and Channel Occupancy RateIEEE Journal on Selected Areas in Communications10.1109/JSAC.2013.13111431:11(2555-2565)Online publication date: Nov-2013

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