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The objective of this section is to show performance of localization method using a single hydrophone.
The authors propose two different approaches to achieve the localization: multidimensional approach (using a horizontal array of hydrophones) based on frequency-wavenumber transform and monodimensional approach (using a single hydrophone) based on adapted spectral representation.
We propose two different approaches to achieve the localization: multidimensional approach (using a horizontal array of hydrophones) based on frequency-wavenumber transform ( method) and monodimensional approach (using a single hydrophone) based on adapted spectral representation ( method).
We present some examples of source localization using methods described in Sections 4 and 5. First, examples of localization in distance and in depth are presented using a single hydrophone, and then using a horizontal hydrophone array (HLA).
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The second method based on adapted Fourier transform and denoted is a monodimensional technique used on a single hydrophone.
Using a single booster.
In the second approach, which is theoretically more difficult as we have a single hydrophone, modes are not easily separable and thus, cannot be filtered using classical signal representations such as Fourier transform or time-frequency representation.
However, on the same rule an adapted time-frequency representation can be constructed and used [12, 17]. Figure 12 Classical STFT and adapted STFT (matched to Pekeris model) of a signal recorded on a single hydrophone.
Mode couple Estimated distance (km) and 9.925 10 10 10 9.625 Figure 15 Cost functions C of sign-distance estimator in a single hydrophone scenario.
The simulation is given for the source ULF-1 at 40-m depth and 10 km distant from hydrophone. Figure 13 Classical Fourier spectrum and adapted Fourier spectrum of a signal recorded on a single hydrophone (the same as in Figure 12).
The depth and distance of an Ultra Low Frequency source are estimated in the mono-dimensional configuration (a single hydrophone) and in the multi-dimensional configuration (a horizontal line array).
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