| CPC H04W 64/00 (2013.01) [H04B 17/23 (2015.01); H04B 17/26 (2015.01); H04B 17/318 (2015.01); H04B 17/373 (2015.01); H04L 27/0006 (2013.01); H04L 27/0012 (2013.01); H04L 27/265 (2013.01); H04W 16/14 (2013.01)] | 7 Claims |

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1. A system for spectrum management, comprising:
a radiofrequency (RF) receiver, a signal processor, and a database connected to the signal processor;
wherein the RF receiver is operable to measure RF energy and output RF energy measurements to the signal processor;
wherein the signal processor is operable to:
generate signal data based on the RF energy measurements received from the RF receiver;
compare the generated signal data with at least one signal parameter stored in the database to identify at least one signal;
determine if the at least one signal is moving using a frequency-locked loop by determining if there is a Doppler change in the at least one signal;
determine a geographic location of the at least one signal by synthesizing an aperture between any two monitoring units of a monitoring array based on a difference of time of arrival;
provide signal optimization parameters for signal optimization of the at least one signal, wherein the signal optimization parameters are provided based on degradation data;
create a channel plan based on user input, external databases, or feature extraction from an RF environment using a Temporal Feature Extraction (TFE) function;
produce a settled percent using the TFE function based on the RF environment;
determine that the at least one signal violates the channel plan; and
generate a conflict alarm and record the conflict alarm in a history database for review;
wherein the signal optimization parameters are provided based on measured terrain data stored in the database;
wherein the identification of the at least one signal includes automatic signal detection based on a calibration vector, a gradient detection algorithm, a first smoothing filter, and a second smoothing filter;
wherein the second smoothing filter is performed only on frequencies outside a frequency range of the at least one signal;
wherein the identification of the at least one signal includes calculating a threshold bar to identify signals instead of noise;
wherein the threshold bar is operable to be calculated based on 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 at least one signal parameter stored in the database includes noise figure parameters; and
wherein the threshold bar is operable to be calculated without manual configuration.
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