| 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)] | 18 Claims |

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1. A system for spectrum data management for a radio frequency (RF) environment, comprising:
at least one receiver and an automatic signal detection (ASD) module;
wherein the ASD module includes machine learning;
wherein the system is operable to form a knowledge map based on past power level measurements of the RF environment over time;
wherein the system 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 system 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 system 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 automatic detection of the at least one signal in the RF environment further comprises fine-tuning a threshold of power level on a segmented basis while extracting at least one temporal feature from the knowledge map;
wherein the system is operable to send an alert based on the at least one signal having a higher power than the past power level measurements of the knowledge map;
wherein the system 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 system is operable to smooth the real-time spectral sweep with a correction vector, wherein the correction vector is determined according to the real-time spectral sweep;
wherein the system is operable to subtract the baseline from the real-time spectral sweep to reveal the at least one signal;
wherein the system is operable to process signal data using compressed data for deltas to generate processed data, and wherein the system is configured to detect at least one anomaly based on the processed data;
wherein the deltas are differentials from the baseline and minimize data sets or sample data required for comparisons and/or analytics; and
wherein the system is operable to generate at least one report for the RF environment.
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