Unscented Kalman Filter Based on Spectrum Sensing in a Cognitive Radio Network Using an Adaptive Fuzzy System

Unscented Kalman Filter Based on Spectrum Sensing in a Cognitive Radio Network Using an Adaptive Fuzzy System

In this paper, we proposed the unscented Kalman filter (UKF) based on cooperative spectrum sensing (CSS) scheme in a cognitive radio network (CRN) using an adaptive fuzzy system—in this proposed scheme, firstly, the UKF to apply the nonlinear system which is used to minimize the mean squar...

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Bibliographic Details
Main Authors: Md Ruhul Amin, Md Mahbubur Rahman, Mohammad Amazad Hossain, Md Khairul Islam, Kazi Mowdud Ahmed, Bikash Chandra Singh, Md Sipon Miah
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Big Data and Cognitive Computing
Subjects:
cognitive radio network
spectrum sensing
Kalman filter
extended Kalman filter
unscented Kalman filter
fuzzy system
Online Access:https://www.mdpi.com/2504-2289/2/4/39

Internet

https://www.mdpi.com/2504-2289/2/4/39

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