Tunable pattern recognition of optical QPSK data using optical correlation and direct detection

Performing pattern recognition via correlation in the optical domain has potential advantages, including: (i) high-speed operation at the line rate and (ii) tunability and scalability by operating on the optical wave properties. Such pattern recognition might be performed on quadrature-phase-shift-keying (QPSK) data transmitted over an optical network, which generally requires using coherent detection to distinguish the phase levels of the correlator output. To enable simpler detection, we combine optical correlation with optical biasing to experimentally demonstrate tunable and scalable QPSK pattern recognition using direct detection. The pattern is applied by adjusting the relative phases of the local pumps. Delayed QPSK signals, a coherent bias tone, and local pumps undergo nonlinear wave-mixing in a periodically poled lithium niobate (PPLN) waveguide to perform optical correlation and biasing. The biased correlator output is captured using direct detection, where the highest power level corresponds only to the pattern. Multiple QPSK pattern recognitions are achieved error-free over 3072 symbols using power thresholding values of (i) 0.78 at a 5-Gbaud rate and 0.73 at a 10-Gbaud rate for 2-symbol pattern recognition and (ii) 0.81 at a 5-Gbaud rate and 0.79 at a 10-Gbaud rate for 3-symbol pattern recognition.

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Publication Details

Journal
Optics Letters
Published
2024-08-19
DOI
https://doi.org/10.1364/ol.534803
Citations
4
Primary Topic
Optical Network Technologies
Type
article
Field-Weighted Citation Impact
0.83

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article

Tunable pattern recognition of optical QPSK data using optical correlation and direct detection

Moshe Tur, Ruoyu Zeng, Alan E. Willner, Narek Karapetyan et al.
4 citations
Optics Letters
Optical Network Technologies
0.83
article

Tunable pattern recognition of optical QPSK data using optical correlation and direct detection

Moshe Tur, Ruoyu Zeng, Alan E. Willner, Narek Karapetyan, Hao Song, Yingning Wang, Huibin Zhou, Amir Minoofar, Ahmed Almaiman, Xinzhou Su, Zile Jiang, Wing Ko, Yuxiang Duan, Jonathan L. Habif, Muralekrishnan Ramakrishnan, Abdulrahman Alhaddad
article en
4 citations

Abstract

Performing pattern recognition via correlation in the optical domain has potential advantages, including: (i) high-speed operation at the line rate and (ii) tunability and scalability by operating on the optical wave properties. Such pattern recognition might be performed on quadrature-phase-shift-keying (QPSK) data transmitted over an optical network, which generally requires using coherent detection to distinguish the phase levels of the correlator output. To enable simpler detection, we combine optical correlation with optical biasing to experimentally demonstrate tunable and scalable QPSK pattern recognition using direct detection. The pattern is applied by adjusting the relative phases of the local pumps. Delayed QPSK signals, a coherent bias tone, and local pumps undergo nonlinear wave-mixing in a periodically poled lithium niobate (PPLN) waveguide to perform optical correlation and biasing. The biased correlator output is captured using direct detection, where the highest power level corresponds only to the pattern. Multiple QPSK pattern recognitions are achieved error-free over 3072 symbols using power thresholding values of (i) 0.78 at a 5-Gbaud rate and 0.73 at a 10-Gbaud rate for 2-symbol pattern recognition and (ii) 0.81 at a 5-Gbaud rate and 0.79 at a 10-Gbaud rate for 3-symbol pattern recognition.

Optics LettersVol. 49(18)
University of Southern California (US), Tel Aviv University (IL), California Southern University (US), King Saud University (SA)
Defense Advanced Research Projects Agency
Openalex Percentile: Top 27%
Optical Network Technologies
0.83
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