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In applications for acoustic profiling, an analysis of current versus depth is key. By analyzing the Doppler frequency variation in the backscattering signal, it is possible to calculate the mean current versus depth. However, due to turbulence in the water creating simultaneous currents and layers, the current direction could change rapidly, making the data non-stationary and difficult to analyze. The transmitted pulse is very short, and the volume where the current should be estimated is typically small. Also, the water volume can contain multiple Doppler responses due to turbulence and other phenomenon. When using this innovative non-linear filtering method, Multiple Peak Count Analysis, these effects can become visible, and the method shows superior performance as compared to classical methods. Classical 3-dimensional spectral plots of the data, does not use a-priori information.

In applications for acoustic profiling, an analysis of current versus depth is key. By analyzing the Doppler frequency variation in the backscattering signal, it is possible to calculate the mean current versus depth. However, due to turbulence in the water creating simultaneous currents and layers, the current direction could change rapidly, making the data non-stationary and difficult to analyze. The transmitted pulse is very short, and the volume where the current should be estimated is typically small. Also, the water volume can contain multiple Doppler responses due to turbulence and other phenomenon. W hen using this innovative non-linear filtering method, Multiple Peak Count Analysis, these effects can become visible, and the method shows superior performance as compared to classical methods. Classical 3-dimensional spectral plots of the data, does not use a-priori information.