| CPC H04W 24/08 (2013.01) [H04B 17/23 (2015.01); H04B 17/27 (2015.01); H04B 17/309 (2015.01); H04B 17/318 (2015.01); H04W 4/029 (2018.02); H04W 16/14 (2013.01); H04W 24/10 (2013.01); H04W 52/0203 (2013.01); H04W 64/006 (2013.01); H04W 72/0453 (2013.01); H04W 72/0473 (2013.01); H04B 17/3911 (2015.01)] | 20 Claims |

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1. An apparatus for spectrum data management for a radio frequency (RF) environment, comprising:
an automatic signal detection (ASD) module;
wherein the ASD module includes machine learning;
wherein the apparatus is operable to form a knowledge map based on past power level measurements of the RF environment over time;
wherein the apparatus is operable to compare a real-time spectral sweep based on current power level measurements of the RF environment to the knowledge map;
wherein the apparatus is operable to automatically detect and/or classify at least one signal from the RF environment based on the comparison of the real-time spectral sweep to the knowledge map;
wherein the apparatus is operable to identify a number of users associated with the at least one signal;
wherein the apparatus is operable to identify the at least one signal based in part upon whether a signal parameter of the at least one signal matches any signal parameters in a 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 apparatus is operable to automatically detect the at least one signal in the RF environment by fine-tuning a threshold of power level on a segmented basis while extracting at least one temporal feature from the knowledge map;
wherein the apparatus is operable to determine a baseline based on an average of the past power level measurements with at least one signal of interest subtracted based on gradients;
wherein the apparatus is operable to smooth the real-time spectral sweep with a correction vector;
wherein the apparatus is operable to subtract the baseline from the real-time spectral sweep to reveal the at least one signal;
wherein the apparatus is operable to process signal data using compressed data for deltas; and
wherein the deltas are differentials from the baseline.
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