Second-Order Kalman Filtering Application to Fading Channels Supported by Real Data

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ISSN Print: 2159-4465
ISSN Online: 2159-4481
www.scirp.org/journal/jsip
E-mail: jsip@scirp.org

"Second-Order Kalman Filtering Application to Fading Channels Supported by Real Data"
written by Azra Kapetanovic, Redhwan Mawari, Mohamed A. Zohdy,
published by Journal of Signal and Information Processing, Vol.7 No.2, 2016

has been cited by the following article(s):

[1]	Second order Kalman filtering channel estimation and machine learning methods for spectrum sensing in cognitive radio networks
	2021

[2]	Caracterização de Canais sem Fio com Correlator Deslizante–Parte I: Fundamentos
	REVISTA DE TECNOLOGIA DA INFORMAÇÃO E COMUNIÇACÃO, 2017

[3]	Low Complexity Channel Equalization in OFDM for High Speed Mobility System with High Frequency Mobile Network Technologies
	ProQuest Dissertations Publishing, 2017

[4]	Fading Channels Parametric Data Simulation Supported by Real Data from Outdoor Experiments
	2017

[5]	Particle Filtering Technique for Fast Fading Shadow Power Estimation in Wireless Communication
	Advances in Signal Processing and Intelligent Recognition Systems, 2017

[6]	An Improved Characterization of Small Scale Fading Based on 2D Measurements and Modeling of a Moving Receiver in an Indoor Environment
	2016

[1]	Second order Kalman filtering channel estimation and machine learning methods for spectrum sensing in cognitive radio networks Wireless Networks, 2021 DOI:10.1007/s11276-021-02627-w

[2]	Fading Channels Parametric Data Simulation Supported by Real Data from Outdoor Experiments Journal of Signal and Information Processing, 2017 DOI:10.4236/jsip.2017.83008

[3]	An Improved Characterization of Small Scale Fading Based on 2D Measurements and Modeling of a Moving Receiver in an Indoor Environment Journal of Signal and Information Processing, 2016 DOI:10.4236/jsip.2016.73016

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