DocumentCode
651519
Title
A low-power robust GFSK demodulation technique for WBAN applications
Author
Pengpeng Chen ; Bo Zhao ; Rong Luo ; Yong Lian ; Huazhong Yang
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear
2013
fDate
Oct. 31 2013-Nov. 2 2013
Firstpage
366
Lastpage
369
Abstract
This paper presents a low-power Gaussian frequency shift keying (GFSK) demodulation technique for wireless body area network (WBAN) applications. The demodulator is composed of a digital pulse generator (DPG), a low-pass filter (LPF), a band-pass filter (BPF), and a hysteresis comparator. The robustness under frequency deviations is realized by a DPG, which outputs an optimized pulse width insensitive to variations of process, voltage, and temperature (PVT). The demodulator is designed with 0.18 μm CMOS technology, and the input testing GFSK signal is 200 kHz, with a data rate of 100 kb/s and a modulation index of 1.0. Simulation results show that the minimum input signal-to-noise ratio (SNR) is 18 dB for 0.1% bit error rate (BER), which falls in the same level with state-of-the-art. Nevertheless, the proposed demodulator can tolerate -15%~+10% frequency deviation, and consumes only 0.52 mA under 1.8 V supply.
Keywords
CMOS integrated circuits; band-pass filters; biomedical electronics; body area networks; body sensor networks; frequency shift keying; low-pass filters; noise; CMOS technology; GFSK signal; Gaussian frequency shift keying; PVT variations; WBAN applications; band-pass filter; bit error rate; demodulator; digital pulse generator; frequency deviations; hysteresis comparator; low-pass filter; low-power robust GFSK demodulation technique; pulse optimization; signal-to-noise ratio; size 0.18 mum; wireless body area network; Band-pass filters; Bit error rate; Demodulation; Frequency shift keying; Power demand; Robustness; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE
Conference_Location
Rotterdam
Type
conf
DOI
10.1109/BioCAS.2013.6679715
Filename
6679715
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