Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)

Digital Phase Detector based on Hilbert Transform

Authors
Shuai GUAN, Yi WANG, Dingbang XIAO, Zhihua CHEN, Xuezhong WU, Qiang XU
Corresponding Author
Shuai GUAN
Available Online July 2017.
DOI
10.2991/eia-17.2017.28How to use a DOI?
Keywords
hilbert; phase detector; FPGA
Abstract

Based on the Hilbert transform algorithm, a digital phase detector for sinusoidal signal is proposed. A half-band IIR filter implemented by the all-pass method approximates the Hilbert transform to realize the orthogonal decomposition of the signal. The Prosthaphaeresis formulas and Cordic algorithm are used to deal with the phase difference. The method can effectively avoid the influence of signal amplitude and frequency fluctuation on the phase detection results, and improve the precision of phase detector. The phase detector is designed and verified on Xilinx's Artix7 FPGA. Experiments show that the phase detector error is 0.3%.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
July 2017
ISBN
10.2991/eia-17.2017.28
ISSN
1951-6851
DOI
10.2991/eia-17.2017.28How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shuai GUAN
AU  - Yi WANG
AU  - Dingbang XIAO
AU  - Zhihua CHEN
AU  - Xuezhong WU
AU  - Qiang XU
PY  - 2017/07
DA  - 2017/07
TI  - Digital Phase Detector based on Hilbert Transform
BT  - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
PB  - Atlantis Press
SP  - 132
EP  - 137
SN  - 1951-6851
UR  - https://doi.org/10.2991/eia-17.2017.28
DO  - 10.2991/eia-17.2017.28
ID  - GUAN2017/07
ER  -