| CPC H04W 24/08 (2013.01) [H04L 27/00 (2013.01); H04L 27/0006 (2013.01); H04W 16/14 (2013.01); H04W 64/006 (2013.01); H04W 72/0453 (2013.01); H04W 76/11 (2018.02); H04W 24/02 (2013.01)] | 20 Claims |

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1. A method for automatic signal detection in an electromagnetic environment, comprising:
forming a knowledge map of the electromagnetic environment based on power level measurements of one or more frequency bins within the electromagnetic environment;
creating a profile of the electromagnetic environment based on the knowledge map;
scrubbing a spectral sweep against the profile;
detecting at least one signal in the electromagnetic environment;
averaging the spectral sweep;
identifying positive and negative gradients by accumulating a gradient value along the spectral sweep, then evaluating the gradient value when a slope of the spectral sweep changes direction;
matching the positive and negative gradients;
removing areas identified by the matched positive and negative gradients and connecting points between removed areas to determine a baseline;
decompressing and reconstructing the at least one signal using compressed data for deltas and the baseline, creating a reconstructed signal; and
identifying the at least one signal based upon whether a signal parameter of the at least one signal matches any signal parameters in signal characteristic listing data in a database including hardware parameters;
wherein the hardware parameters include antenna position, antenna type, orientation, azimuth, gain, and/or equivalent isotropically radiated power (EIRP) for a transmitter associated with the at least one signal;
wherein the deltas are differentials from the baseline;
wherein detecting the at least one signal in the electromagnetic environment comprises fine-tuning a threshold of power level on a segmented basis while extracting at least one temporal feature from the knowledge map; and
wherein the threshold of power level is fine-tuned based on the hardware parameters and/or stored terrain data.
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