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

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Frequency-multiplexed and pipelined iterative optical systolic array processors.

D Casasent¹, J Jackson, C P Neuman

¹Carnegie-Mellon University, Department of Electrical Engineering, Pittsburgh, Pennsylvania 15213, USA.

|January 1, 1983

Summary

This summary is machine-generated.

New optical matrix processors utilize acoustooptic transducers and advanced systolic array architectures. These systems offer powerful, efficient solutions for applications like Kalman filtering, improving iterative optical processing capabilities.

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Area of Science:

Optics and Photonics
Computer Engineering
Signal Processing

Background:

Acoustooptic (A-O) transducers are key components in optical signal processing.
Systolic array architectures offer parallel processing advantages.
Iterative optical processors are suitable for complex computations.

Purpose of the Study:

To describe novel optical matrix processors using A-O transducers.
To introduce new systolic array architectures with enhanced multiplexing techniques.
To explore the application of these processors in Kalman filtering.

Main Methods:

Development of novel systolic array architectures for optical matrix processing.
Integration of frequency, space, and time multiplexing.
Case study using Kalman filtering to define system operations.
Implementation of data pipelining and operation ordering strategies.
Introduction of a new technique for handling bipolar data.

Main Results:

Demonstration of new systolic array architectures for optical matrix processors.
Successful application of these processors to Kalman filtering.
Effective strategies for data pipelining and operation ordering.
A novel method for processing bipolar data in optical systems.

Conclusions:

The described optical matrix processors offer a powerful platform for iterative computations.
The proposed architectures and techniques enhance the efficiency and applicability of optical processing.
Kalman filtering serves as a significant application, showcasing the system's capabilities.