GFSK phase estimation using Extended Kalman filtering for Non-Gaussian noise

A. Nsour, Alhaj-Saleh Abdallah, M. Zohdy
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引用次数: 4

Abstract

Several industries are developing innovative devices with integrated Bluetooth technology to enhance user experience. Gaussian Frequency Shift Keying (GFSK), a special case of Continuous Phase Modulation (CPM) schemes, is the modulation scheme chosen for achieving basic data rate of 1Mbps with Bluetooth receivers. In this paper, we apply the Extended Kalman Filter (EKF) to non-coherently estimate the phase of GFSK modulation scheme in Bluetooth receivers. The paper examines the performance of Extended Kalman filters in the presence of Non-Gaussian impulsive noise with IEEE802.11 coexistence. Both technologies operate in the unlicensed 2.4GHz Industrial Scientific Medical (ISM) Band. Mean Square Error (MSE) was used as a measurement for the performance. Experimental results obtained for Extended Kalman Filter for Non-Gaussian noise are provided.
基于扩展卡尔曼滤波的非高斯噪声GFSK相位估计
一些行业正在开发集成蓝牙技术的创新设备,以增强用户体验。高斯频移键控(GFSK)是连续相位调制(CPM)方案的一种特殊情况,是蓝牙接收器实现1Mbps基本数据速率所选择的调制方案。本文应用扩展卡尔曼滤波器(EKF)对蓝牙接收机中GFSK调制方案的相位进行非相干估计。研究了扩展卡尔曼滤波器在IEEE802.11共存的非高斯脉冲噪声条件下的性能。这两种技术都在未经许可的2.4GHz工业科学医疗(ISM)频段运行。使用均方误差(MSE)作为性能的度量。给出了非高斯噪声下扩展卡尔曼滤波的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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