Converting PSD into equivalent sound pressure for an underwater hydrophone

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SUMMARY

The discussion focuses on converting Power Spectral Density (PSD) measurements from an underwater hydrophone into equivalent sound pressure levels. The hydrophone has a sensitivity of -190 dB ref 1V/µPa and a preamplifier gain of 40 dB at 200 Hz. The measured PSD is approximately -80 dBvrms/sqrtHz. To convert this PSD to underwater sound pressure level, one must consider the bandwidth of the measurement and apply the formula by multiplying the PSD by the square root of the bandwidth. The discussion emphasizes the importance of phase information for more complex conversions.

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  • Understanding of underwater acoustics and hydrophone specifications
  • Knowledge of Power Spectral Density (PSD) and its applications
  • Familiarity with spectrum analyzers and their output
  • Basic principles of Fourier transforms and signal processing
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  • Research methods for converting voltage spectral density to RMS voltage
  • Learn about bandwidth measurement techniques in acoustic applications
  • Explore the role of phase information in signal reconstruction
  • Investigate the use of inverse Fourier transforms in signal processing
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Acoustic engineers, underwater researchers, and anyone involved in hydrophone signal analysis and conversion processes.

nauman
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Hi all

I have a underwater hydrophone with known receive sensitivity e.g. -190dB ref 1v/upa with a preamplifier having gain of 40dB at frequency e.g. 200Hz. I measure preamplifier output using spectrum analyzer and it gives PSD of around -80dBvrms/sqrtHz. I need to convert this PSD value into equivalent underwater sound pressure level with unit of dB ref 1upa.
Any help is much appreciated.
 
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The measurement is of a single frequency, so that Power Spectral Density is not the appropriate measurement. All you need to measure is voltage. PSD is used for measuring noise like signals.
 
If you are actually measuring a noise-like signal, then the electronics must respond to the full sound spectrum and you need to know what the total bandwidth is.
 
If you have a narrow resolution bandwidth you can use that to convert the spectral density into a voltage. You can assume the psd is flat and just multiply by the measurement BW squared sqrt(BW). Of course the BW measured may only be part of the time domain signal.

For a more complex situation, it's like doing an inverse Fourier transform. It can't really be done without the phase information the spectrum analyzer threw out, but you could do the integral to get an estimate.

https://www.ti.com/content/dam/videos/external-videos/en-us/1/3816841626001/4078827152001.mp4/subassets/opamps-noise-calculating-root-mean-squared-noise-presentation-quiz.pdf#:~:text=To convert voltage spectral density to RMS,,to convert back to voltage or current.

edit: Oops! it's ##\sqrt{BW}## not ##BW^2##. Duh!, sorry
 
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