The Goodman algorithm: Difference between revisions

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The procedure is well described in [https://journals.ametsoc.org/view/journals/atot/23/7/jtech1889_1.xml Goodman2006]
The procedure is well described in [https://journals.ametsoc.org/view/journals/atot/23/7/jtech1889_1.xml Goodman et al. 2006]
<ref name="goodmanetal2006">{{Cite journal
<ref name="goodmanetal2006">{{Cite journal
|authors= L. Goodman, E. Levine and R. Lueck
|authors= L. Goodman, E. Levine and R. Lueck
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|pages= 977-990
|pages= 977-990
|doi= 10.1175/JTECH1889.1
|doi= 10.1175/JTECH1889.1
}}</ref>
}}</ref>.
Focusing on one specific direction, one specific shear probe, one can simply:   
Focusing on one specific direction, one specific shear probe, one can simply:   


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- and remove the vibration-coherent content of the shear spectrum using  <math>E_{\mathrm{clean}}(f)=E_{\mathrm{obs}}(f)(1-\Gamma^2(f))</math>
- and remove the vibration-coherent content of the shear spectrum using  <math>E_{\mathrm{clean}}(f)=E_{\mathrm{obs}}(f)(1-\Gamma^2(f))</math>


where <math>E_{\mathrm{clean}}(f)</math> is the corrected shear frequency spectrum. Equation 3 in Goodman2006 presents the formalism for a correction using multiple directions (multivariate approach). The multivariate approach is more efficient and, almost a requirement for powered vehicles like AUVs. The number of vibration (or acceleration) signals used to correct the observed spectra of shear should be included in the quality control flag.  
where <math>E_{\mathrm{clean}}(f)</math> is the corrected shear frequency spectrum. Equation 3 in [https://journals.ametsoc.org/view/journals/atot/23/7/jtech1889_1.xml Goodman et al. 2006] presents the formalism for a correction using multiple directions (multivariate approach). The multivariate approach is more efficient and, almost a requirement for powered vehicles like AUVs. The number of vibration (or acceleration) signals used to correct the observed spectra of shear should be included in the quality control flag.  


To obtain statistical significance, it is recommended to compute the coherence/cross-spectra over 7 fft-segments.  
To obtain statistical significance, it is recommended to compute the coherence/cross-spectra over 7 fft-segments. The vibration-coherent noise removal algorithm [[The_bias_induced_by_the_Goodman_algorithm| biases low]] the spectrum of shear in a frequency independent manner, and can be corrected using the number of vibration (or other types) of signals used to correct the measured shear spectra and the number of fit-segments used to estimate the shear spectrum.
The vibration-coherent noise removal algorithm biases low the spectrum of shear in a frequency independent manner.
The cleaned spectra must be boosted by dividing them by <math>1 - N_V/N_f</math> where <math>N_V</math>  is the number of vibration (or other types) of signals used to correct the measured shear spectra and <math>N_f</math> is the number of fit-segments used to estimate the shear spectrum  
<ref name="luecketal2022">{{Cite journal
<ref name="luecketal2022">{{Cite journal
|authors= R. G. Lueck, D. MacIntyre, and J. MacMillan
|authors= R. G. Lueck, D. MacIntyre, and J. MacMillan
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return to [[Flow chart for shear probes]]
return to [[Flow chart for shear probes]]
[[Category:Shear probes]]

Latest revision as of 15:46, 7 June 2024

The procedure is well described in Goodman et al. 2006 [1]. Focusing on one specific direction, one specific shear probe, one can simply:

- compute the coherence squared [math]\displaystyle{ \Gamma^2(f) }[/math] between the observed velocity or shear frequency spectrum [math]\displaystyle{ E_{\mathrm{obs}}(f) }[/math] and the vibration frequency spectrum [math]\displaystyle{ E_{\mathrm{vib}}(f) }[/math].

- and remove the vibration-coherent content of the shear spectrum using [math]\displaystyle{ E_{\mathrm{clean}}(f)=E_{\mathrm{obs}}(f)(1-\Gamma^2(f)) }[/math]

where [math]\displaystyle{ E_{\mathrm{clean}}(f) }[/math] is the corrected shear frequency spectrum. Equation 3 in Goodman et al. 2006 presents the formalism for a correction using multiple directions (multivariate approach). The multivariate approach is more efficient and, almost a requirement for powered vehicles like AUVs. The number of vibration (or acceleration) signals used to correct the observed spectra of shear should be included in the quality control flag.

To obtain statistical significance, it is recommended to compute the coherence/cross-spectra over 7 fft-segments. The vibration-coherent noise removal algorithm biases low the spectrum of shear in a frequency independent manner, and can be corrected using the number of vibration (or other types) of signals used to correct the measured shear spectra and the number of fit-segments used to estimate the shear spectrum. [2].


References

  1. L. Goodman and E. Levine and R. Lueck. 2006. On measuring the terms of the turbulent kinetic energy budget from an AUV. J. Atmos. Oceanic Technol.. doi:10.1175/JTECH1889.1
  2. R. G. Lueck, D. MacIntyre and and J. MacMillan. 2022. The bias in coherent noise removal. J. Atmos. Oceanic Technol.. doi:TBD



return to Flow chart for shear probes