Publications
Tunable pattern recognition of optical QPSK data using optical correlation and direct detection
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 …
Metadata
- publication
- Optics Letters 49 (18), 5079-5082, 2024
- year
- 2024
- publication date
- 2024/9/3
- authors
- 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
- link
- https://opg.optica.org/abstract.cfm?uri=ol-49-18-5079
- resource_link
- https://opg.optica.org/viewmedia.cfm?html=true&seq=0&uri=ol-49-18-5079
- journal
- Optics Letters
- volume
- 49
- issue
- 18
- pages
- 5079-5082
- publisher
- Optica Publishing Group