CPC H04W 24/08 (2013.01) [H04B 17/20 (2015.01); H04B 17/23 (2015.01); H04B 17/26 (2015.01); H04B 17/27 (2015.01); H04B 17/29 (2015.01); H04B 17/309 (2015.01); H04B 17/318 (2015.01); H04W 24/10 (2013.01); H04B 17/24 (2015.01); H04W 24/04 (2013.01)] | 20 Claims |
1. An apparatus for signal detection in an electromagnetic environment, comprising:
at least one receiver, at least one processor, and at least one memory;
wherein the apparatus is operable to create power level measurements of the electromagnetic environment;
wherein the apparatus is operable to reveal and/or classify at least one signal based on an identification and/or a classification algorithm;
wherein the identification and/or classification algorithm are operable to identify temporal features in real time;
wherein the apparatus includes a temporal feature extraction (TFE) function;
wherein the TFE function is operable to create impressions of the electromagnetic environment based on at least one machine learning (ML) algorithm;
wherein the TFE function is operable to identify at least one narrowband signal and at least one wideband signal in a same frequency and hidden by a second wideband signal based on historical data;
wherein the apparatus is operable to calculate a first derivative of the power level measurements and a second derivative of the power level measurements;
wherein the apparatus is operable to process signal data using compressed data for deltas;
wherein the deltas are differentials from at least one baseline and minimize data sets or sample data required for comparisons and/or analytics; and
wherein the apparatus is operable to reconstruct the at least one signal using the deltas and the at least one baseline.
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