Brown, R.G. and Hwang, P.Y.C. (2012) Introduction to Random Signals and Applied Kalman Filtering. In: Brown, R.G. and Hwang, P.Y.C., Eds., Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises, 4th Edition, John Wiley & Sons, Inc., Hoboken, 141-148.

has been cited by the following article:

• TITLE: Robust Non-Coherent Demodulation Scheme for Bluetooth Voice Transmission Using Linear, Extended, and Unscented Kalman Filtering

  AUTHORS: Ali S. Alghamdi, Mahdi N. Ali, Mohamed A. Zohdy

  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

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.6 No.1, January 28, 2015

  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.