An Investigation into Using Kalman Filtering for Phase Estimation in Bluetooth Receivers For Gaussian and Non-Gaussian Noise

被引：0

作者：

Nsour, Ahmad ^{[1
]}

Abdallah, Alhaj-Saleh ^{[1
]}

Zohdy, Mohammed ^{[1
]}

机构：

[1] Oakland Univ, Dept Elect & Comp Engn, Rochester, MI 48063 USA

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON ELECTRO-INFORMATION TECHNOLOGY (EIT 2013) | 2013年

关键词：

AWGN; Bluetooth; Gaussian Frequency Shift Keying; Linear Kalman Filter; Impulsive Noise;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Gaussian Frequency Shift Keying (GFSK) modulation scheme is used in Bluetooth receivers to achieve a basic data rate of 1Mps. GFSK is a subclass of Continuous Phase Modulation (CPM) where phase is constrained to be continuous during symbol transition which results in enhanced spectral properties, that makes it an attractive modulation in many wireless applications. In this paper, we investigate applying linear Kalman Filter (LKF) to non-coherently track the phase of GFSK modulation scheme in Bluetooth receivers. The paper examines the performance of Linear Kalman Filter for both Additive White Gaussian channel noise (AWGN) and 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 for Linear Kalman Filter for Gaussian channel and Non Gaussian Impulsive Noise are provided.

引用

页数：5

共 50 条

[21] A Network of Kalman Filters for MAI and ISI Compensation in a Non-Gaussian Environment [J].

Bessem Sayadi ;

Sylvie Marcos .

EURASIP Journal on Advances in Signal Processing, 2005

[22] Source enumeration via GBIC with a statistic for sphericity test in white Gaussian and non-Gaussian noise [J].

Liu, Yanyan ;

Sun, Xiaoying ;

Zhao, Shishun .

IET RADAR SONAR AND NAVIGATION, 2017, 11 (09) :1333-1339

[23] An adaptive spatial diversity receiver for non-Gaussian interference and noise [J].

Blum, RS ;

Kozick, RJ ;

Sadler, BM .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1999, 47 (08) :2100-2111

[24] Underwater sources location in non-Gaussian impulsive noise environments [J].

Zha, DF ;

Qiu, TS .

DIGITAL SIGNAL PROCESSING, 2006, 16 (02) :149-163

[25] Robust estimators for frequency offset of OFDM in non-Gaussian noise [J].

Chong, Dahae ;

Lee, Youngpo ;

Song, Iickho ;

Yoon, Seokho .

IEICE ELECTRONICS EXPRESS, 2011, 8 (17) :1412-1418

[26] Variational Bayesian Inference Based Direction Of Arrival Estimation in Presence of Shallow Water Non-Gaussian Noise [J].

FENG Xiao ;

ZHOU Mingzhang ;

ZHANG Xuebo ;

YE Kun ;

WANG Junfeng ;

SUN Haixin .

JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2022, 44 (06) :1887-1896

[27] Efficient algorithms for sequence detection in non-Gaussian noise with intersymbol interference [J].

Chen, Y ;

Blum, RS .

IEEE TRANSACTIONS ON COMMUNICATIONS, 2000, 48 (08) :1249-1252

[28] Constrained complex correntropy applied to adaptive beamforming in non-Gaussian noise environment [J].

Kanika Agarwal ;

Chandra Shekhar Rai .

Signal, Image and Video Processing, 2024, 18 :2333-2343

[29] Impulsive noise suppression for robust iterative timing recovery in non-Gaussian Channels [J].

Hsian, Chuan Pu ;

Gnanamuthu, Ezra Morris Abraham ;

Loong, Fook Lo .

2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (ICSIPA), 2017, :230-235

[30] Robust Methods for Wideband Compressive Spectrum Sensing Under Non-Gaussian Noise [J].

Bhavana, Bandaru ;

Namburu, Swetha ;

Panigrahi, Trilochan ;

Sabat, Samrat L. .

IEEE COMMUNICATIONS LETTERS, 2021, 25 (10) :3398-3402

← 1 2 3 4 5 →