Title :
Bit error rate estimation for galvanic-type intra-body communication using experimental eye-diagram and jitter characteristics
Author :
Jia Wen Li ; Xi Mei Chen ; Sio Hang Pun ; Mak, Peng Un ; Yue Ming Gao ; Vai, Mang I. ; Min Du
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Macau, Taipa, China
Abstract :
Bit error rate (BER), which indicates the reliability of communicate channel, is one of the most important values in all kinds of communication system, including intra-body communication (IBC). In order to know more about IBC channel, this paper presents a new method of BER estimation for galvanic-type IBC using experimental eye-diagram and jitter characteristics. To lay the foundation for our methodology, the fundamental relationships between eye-diagram, jitter and BER are first reviewed. Then experiments based on human lower arm IBC are carried out using quadrature phase shift keying (QPSK) modulation scheme and 500 KHz carries frequency. In our IBC experiments, the symbol rate is from 10 Ksps to 100 Ksps, with two transmitted power settings, 0 dBm and -5 dBm. Finally, the BER results were obtained after calculation by experimental data through the relationships among eye-diagram, jitter and BER. These results are then compared with theoretical values and they show good agreement, especially when SNR is between 6 dB to 11 dB. Additionally, these results demonstrate assuming the noise of galvanic-type IBC channel as Additive White Gaussian Noise (AWGN) in previous study is applicable.
Keywords :
AWGN channels; biomedical communication; error statistics; jitter; quadrature phase shift keying; telecommunication channels; AWGN; BER estimation; QPSK; SNR; additive white Gaussian noise; bit error rate estimation; communication channel; communication system; experimental eye-diagram; frequency 500 kHz; galvanic-type IBC channel; galvanic-type intrabody communication; human lower arm IBC; jitter characteristics; quadrature phase shift keying modulation scheme; symbol rate; transmitted power settings; Bit error rate; Educational institutions; Estimation; Jitter; Probability density function; Signal to noise ratio;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6610719