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Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

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Hybrid optical-digital signal processing applied to an optimal nonlinear phase estimator.

W E Stephens¹, W H Steier

¹University of Southern California, Department of Electrical Engineering, Los Angeles, California 90089, USA.

|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.

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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.