[1] Ouyang Xingchen, Wu Lenan,. Faster-than-Nyquist rate communicationvia convolutional neural networks-based demodulators [J]. Journal of Southeast University (English Edition), 2016, 32 (1): 6-10. [doi:10.3969/j.issn.1003-7985.2016.01.002]

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Faster-than-Nyquist rate communicationvia convolutional neural networks-based demodulators()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

32

Issue:

2016 1

Page:

6-10

Research Field:

Information and Communication Engineering

Publishing date:

2016-03-20

Info

Title:

Faster-than-Nyquist rate communicationvia convolutional neural networks-based demodulators

Author(s):

Ouyang Xingchen;  Wu Lenan

School of Information Science and Engineering, Southeast University, Nanjing 210096, China

Keywords:

bipolar extended binary phase shifting keying(EBPSK);  convolutional neural networks(CNNs);  faster-than-Nyquist(FTN)rate;  double-symbol united-decision

PACS:

TN911.3

DOI:

10.3969/j.issn.1003-7985.2016.01.002

Abstract:

A demodulator based on convolutional neural networks(CNNs)is proposed to demodulate bipolar extended binary phase shifting keying(EBPSK)signals transmitted at a faster-than-Nyquist(FTN)rate, solving the problem of severe inter symbol interference(ISI)caused by FTN rate signals. With the characteristics of local connectivity, pooling and weight sharing, a six-layer CNNs structure is used to demodulate and eliminate ISI. The results show that with the symbol rate of 1.07 kBd, the bandwidth of the band-pass filter(BPF)in a transmitter of 1 kHz and the changing number of carrier cycles in a symbol K=5, 10, 15, 28, the overall bit error ratio(BER)performance of CNNs with single-symbol decision is superior to that with a double-symbol united-decision. In addition, the BER performance of single-symbol decision is approximately 0.5 dB better than that of the coherent demodulator while K equals the total number of carrier circles in a symbol, i.e., K=N=28. With the symbol rate of 1.07 kBd, the bandwidth of BPF in a transmitter of 500 Hz and K=5, 10, 15, 28, the overall BER performance of CNNs with double-symbol united-decision is superior to those with single-symbol decision. Moreover, the double-symbol united-decision method is approximately 0.5 to 1.5 dB better than that of the coherent demodulator while K=N=28. The demodulators based on CNNs successfully solve the serious ISI problems generated during the transmission of FTN rate bipolar EBPSK signals, which is beneficial for the improvement of spectrum efficiency.

References:

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Memo

Memo:

Biographies: Ouyang Xingchen(1992—), female, graduate; Wu Lenan(corresponding author), male, doctor, professor, wuln@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No.6504000089).
Citation: Ouyang Xingchen, Wu Lenan. Faster-than-Nyquist rate communication via convolutional neural networks-based demodulators[J].Journal of Southeast University(English Edition), 2016, 32(1):6-10. DOI:10.3969/j.issn.1003-7985.2016.01.002.

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