利用线性、扩展和无气味卡尔曼滤波的蓝牙语音传输鲁棒非相干解调方案

Ali S. Alghamdi, Mahdi Ali, M. Zohdy
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引用次数: 6

摘要

本文提出了一种新颖、经济的蓝牙通信系统接收机高斯频移键控(GFSK)优化方法。该方法通过改善误码率(BER)和帧误码率(FER)结果来提高非相干解调方案的性能。在该技术中使用了线性、扩展和无气味卡尔曼滤波器。利用Simulink建立仿真模型,对集成滤波器的蓝牙语音传输系统进行仿真。结果显示了BER和FER的改进,并且与线性卡尔曼滤波器(KF)和扩展卡尔曼滤波器(EKF)相比,Unscented卡尔曼滤波器(UKF)表现出优越的性能。据我们所知,这项研究首次提出在存在加性高斯白噪声(AWGN)和干扰的情况下,使用UKF来优化蓝牙系统接收器。
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Robust Non-Coherent Demodulation Scheme for Bluetooth Voice Transmission Using Linear, Extended, and Unscented Kalman Filtering
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.
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