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Systems, methods, and devices for electronic spectrum management

  • US 10,555,180 B2
  • Filed: 02/22/2019
  • Issued: 02/04/2020
  • Est. Priority Date: 03/15/2013
  • Status: Active Grant
First Claim
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1. A method for automatic signal detection in a radio-frequency (RF) environment, comprising:

  • learning the RF environment in a learning period based on statistical learning techniques, thereby creating learning data including power level measurements of the RF environment;

    forming a knowledge map based on the power level measurements of the RF environment;

    creating a channel plan based on the knowledge map, user input, and/or external databases;

    scrubbing a real-time spectral sweep against the knowledge map;

    calculating a first derivative of the power level measurements and a second derivative of the power level measurements;

    selecting most prominent derivatives of the first derivative and the second derivative;

    performing a squaring function on the most prominent derivatives;

    detecting at least one signal in the RF environment based on matched positive and negative gradients;

    averaging the real-time spectral sweep, removing areas identified by the matched positive and negative gradients, and connecting points between removed areas to determine a baseline;

    subtracting the baseline from the real-time spectral sweep to reveal the at least one signal; and

    determining that one or more of the at least one signal violates the channel plan.

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