Tunable Pattern Recognition of Optical QPSK Data Using Optical Correlation and Direct Detection

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

Optics letters（2024）SCI 2区

Univ Southern Calif

Cited 0|Views12

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.

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