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Acousto-optic processors for real-time generation of time-frequency representations.

R A Athale, J N Lee, E L Robinson

|August 29, 2009

Summary

This study introduces acousto-optic processors for real-time calculation of 2-D time-frequency representations. These processors can generate known and novel representations for temporal signals.

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Area of Science:

Signal Processing
Optics
Applied Physics

Background:

Traditional methods for analyzing temporal signals often lack real-time processing capabilities.
Two-dimensional (2-D) time-frequency representations offer rich insights into signal characteristics but are computationally intensive.
Acousto-optic (AO) techniques provide a potential avenue for high-speed signal processing.

Purpose of the Study:

To describe acousto-optic processors capable of real-time computation of various 2-D time-frequency representations.
To demonstrate the flexibility of a specific AO processor configuration in generating established and novel representations.
To present experimental validation of these AO-based time-frequency analysis methods.

Main Methods:

Utilized a parallel configuration of two Bragg cells within an acousto-optic processor.
Modified the processor configuration to derive different 2-D time-frequency representations, including the Wigner distribution and ambiguity function.
Developed and implemented novel processor variations for mean-frequency-selective correlation and Doppler-frequency-selective convolution.

Main Results:

Demonstrated that a single acousto-optic processor design can compute multiple 2-D time-frequency representations by minor adjustments.
Successfully generated two new time-frequency representations: mean-frequency-selective correlation and Doppler-frequency-selective convolution for amplitude-modulated signals.
Experimental results confirmed the distinct features and capabilities of the various time-frequency representations obtained via the acousto-optic processor.

Conclusions:

Acousto-optic processors offer a viable and efficient platform for real-time computation of diverse 2-D time-frequency representations.
The described AO processor architecture is versatile, enabling access to both standard and novel signal analysis tools.
This work highlights the potential of acousto-optic signal processing for advanced temporal signal analysis.