Robust Non-Coherent Demodulation Scheme for Bluetooth Voice Transmission Using Linear, Extended, and Unscented Kalman Filtering
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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53580#.VMnd1yzQrzE
Affiliation(s)
1Electrical and Computer Engineering Department, Oakland University, Rochester, MI, USA.
2Saudi Red Crescent Authority, Riyadh, Saudi Arabia.
3Ministry of Higher Education, Riyadh, Saudi Arabia.
4Hyundai Motor Company, Superior Township, MI, USA.
2Saudi Red Crescent Authority, Riyadh, Saudi Arabia.
3Ministry of Higher Education, Riyadh, Saudi Arabia.
4Hyundai Motor Company, Superior Township, MI, USA.
ABSTRACT
This
paper presents a novel and cost effective method to be used in the
optimization of the Gaussian Frequency Shift Keying (GFSK) at the
receiver of the Bluetooth communication system. The proposed method
enhances the performance of the noncoherent demodulation schemes by
improving the Bit Error Rate (BER) and Frame Error Rate (FER) outcomes.
Linear, Extended, and Unscented Kalman Filters are utilized in this
technique. A simulation model, using Simulink, has been created to
simulate the Bluetooth voice transmission system with the integrated
filters. Results have shown improvements in the BER and FER, and that
the Unscented Kalman Filters (UKF) have shown superior performance in
comparison to the linear Kalman Filter (KF) and the Extended Kalman
Filter (EKF). To the best of our knowledge, this research is the first
to propose the usage of the UKF in the optimization of the Bluetooth
System receivers in the presence of additive white Gaussian noise
(AWGN), as well as interferences.
KEYWORDS
Bluetooth System Unscented Kalman Filter (UKF), Interferences, Gaussian Frequency Shift Keying (GFSK), Noncoherent Demodulation, Additive White Gaussian Noise (AWGN), Bit Error Rate (BER), Matlab Simulink
Cite this paper
References
Alghamdi,
A. , Ali, M. and Zohdy, M. (2015) Robust Non-Coherent Demodulation
Scheme for Bluetooth Voice Transmission Using Linear, Extended, and
Unscented Kalman Filtering. Journal of Signal and Information Processing, 6, 9-27. doi: 10.4236/jsip.2015.61002.
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