Abstract
This study proposes a novel signal detection and modulation optimization scheme using the unscented Kalman filter (UKF) for the Bluetooth voice communication system for the indoor noise environment at Oakland University. It is designed for filtering received signals at the front-end of the receiver stage and established to be robust due to the usage of UKF. The UKF model is capable of handling modulated waveforms represented by the state-space model to reduce the non-Gaussian noise over a multipath fading channel. Moreover, this novel work addresses the characterization of the fading channel with typical non-Gaussian noise, which can be applicable in Bluetooth systems with 802.11b (Wi-Fi) standard interference. The simulation results are used to calculate the bit error rate and frame error rate.