Adaptive interacting multiple model-Kalman filter for multitaper spectrum sensing in cognitive radio

This Letter addresses the necessity for adaptive threshold (AT) and optimum frame duration (OFD) in spectrum sensing (SS). An adaptation paradigm of Kalman filter incorporated with interacting multiple model to interrogate the channel state information and adjusting the AT and OFD algorithms is prop...

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Veröffentlicht in:Electronics letters 2018-03, Vol.54 (5), p.321-322
Hauptverfasser: Salam, A.O, Sheriff, R.E, Al-Araji, S.R, Mezher, K, Nasir, Q
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container_issue 5
container_start_page 321
container_title Electronics letters
container_volume 54
creator Salam, A.O
Sheriff, R.E
Al-Araji, S.R
Mezher, K
Nasir, Q
description This Letter addresses the necessity for adaptive threshold (AT) and optimum frame duration (OFD) in spectrum sensing (SS). An adaptation paradigm of Kalman filter incorporated with interacting multiple model to interrogate the channel state information and adjusting the AT and OFD algorithms is proposed. The robust multitaper method is embraced for spectrum leakage control. The analysis of augmenting these algorithms is given and corroborated with simulations, which show their perks for efficient SS applications.
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subjects adaptation paradigm
adaptive interacting multiple model‐Kalman filter
adaptive threshold
AT algorithm
channel state information
cognitive radio
interacting multiple model
Kalman filters
multitaper spectrum sensing
OFD algorithm
optimum frame duration
radio spectrum management
robust multitaper method
spectrum leakage control
wireless channels
Wireless communications
title Adaptive interacting multiple model-Kalman filter for multitaper spectrum sensing in cognitive radio
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