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Feedforward neural network system for the detection and characterization of sonar signals with characteristic spectrogram textures

  • US 5,502,688 A
  • Filed: 11/23/1994
  • Issued: 03/26/1996
  • Est. Priority Date: 11/23/1994
  • Status: Expired due to Term
First Claim
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1. A method for characterizing a sonar signal captured by sonar listening devices, the method comprising the steps of:

  • (1) characterizing a spectrogram generated from a sonar signal in terms of textural features and signal processing parameters;

    (2) inputting to a plurality of trained neural networks said textural features and said signal processing parameters of said spectrogram, wherein each of said plurality of trained neural networks is trained to favor a different subset of said textural features and said signal processing parameters; and

    (3) classifying components of said sonar signal as characteristic texture or clutter using said trained neural network.

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