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Updated: Jul 8, 2026
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Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
Published on: April 1, 2020
Hybrid optical-digital signal processing applied to an optimal nonlinear phase estimator
1University of Southern California, Department of Electrical Engineering, Los Angeles, California 90089, USA.
Applied Optics
|March 15, 1983
Summary
This study presents an electrooptical phase estimator for communication signals. It uses a novel nonlinear filter processor for optimal phase estimation, improving signal processing capabilities.
Area of Science:
- Electrical Engineering
- Optical Communications
- Signal Processing
Background:
- Phase estimation is crucial for coherent optical communication systems.
- Existing methods for phase estimation can be computationally intensive or suboptimal.
- The need for efficient and accurate phase estimation techniques is growing with increasing data rates.
Purpose of the Study:
- To describe an electrooptical realization of an optimal phase estimator.
- To introduce a novel time-domain recursive nonlinear filter for phase estimation.
- To detail the electrooptical processor design and its performance.
Main Methods:
- Developed an electrooptical processor to perform a 1-D convolution in 2-D space.
- Implemented a time-domain recursive nonlinear filter.
- Utilized a computer for completing complex calculations.
Main Results:
- Successfully demonstrated an electrooptical realization of an optimal phase estimator.
- The processor effectively performs nonlinear filtering for phase estimation.
- Evaluated the performance of the electrooptical processor.
Conclusions:
- The described electrooptical processor offers an efficient method for optimal phase estimation.
- This realization advances the field of optical signal processing.
- The nonlinear filter approach shows promise for future communication systems.
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