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Golay code modulation in low-power laser-ultrasound.
István A Veres1, Alison Cleary, Graham Thursby
1Research Center for Non-Destructive Testing GmbH, Altenberger Straße 69, 4040 Linz, Austria. istvan.veres@recendt.at
Ultrasonics
|May 18, 2012
Summary
This study introduces a new correlation-based detection technique using Golay codes to enhance signal-to-noise ratio (SNR) in modulated laser-ultrasonics. The method improves SNR for chirped waveforms, enabling better analysis of materials like thin plates using Lamb waves.
Area of Science:
- Physics
- Materials Science
- Signal Processing
Background:
- Standard techniques for impulse response recovery in modulated laser-ultrasonics often rely on coded sequences to improve signal-to-noise ratio (SNR).
- Existing methods provide improved SNR in the time domain but can be limited in frequency range specificity.
Purpose of the Study:
- To extend correlation-based detection for chirped waveforms, enhancing SNR within a well-defined frequency range.
- To apply this technique to modulated laser-ultrasonics for improved material characterization.
Main Methods:
- Modulating chirped waveforms with Golay codes for bandlimited carrier signal generation.
- Employing cross-correlation techniques to recover the system's response in the time domain with improved SNR.
- Analytical discussion of SNR improvement, showing proportionality to the square root of sequence length.
Main Results:
- Demonstrated experimental application in laser-ultrasound using modulated laser diodes on a 50μm plate with MHz range Lamb waves.
- Achieved experimental SNR improvements of approximately 1.83 (7 to 9 bits) and 2.17 (9 to 11 bits) Golay codes, closely matching theoretical predictions.
- Validated the technique's ability to recover waveforms for evaluating dispersion relations using multiple measurement points.
Conclusions:
- The developed correlation-based technique effectively enhances SNR for chirped waveforms in modulated laser-ultrasonics.
- The method offers a robust approach for investigating thin materials and layered structures via Lamb wave analysis.
- Recovered waveforms are suitable for characterizing materials by evaluating dispersion relations through inverse problems.
