US 12,243,406 B2
Systems, methods, and devices for automatic signal detection based on power distribution by frequency over time
David William Kleinbeck, Lees Summit, MO (US)
Assigned to Digital Global Systems, Inc., Tysons Corner, VA (US)
Filed by Digital Global Systems, Inc., Tysons Corner, VA (US)
Filed on Oct. 2, 2024, as Appl. No. 18/904,788.
Application 18/904,788 is a continuation of application No. 18/781,398, filed on Jul. 23, 2024, granted, now 12,142,127.
Application 18/781,398 is a continuation of application No. 18/620,309, filed on Mar. 28, 2024, granted, now 12,087,147, issued on Sep. 10, 2024.
Application 18/620,309 is a continuation of application No. 18/525,117, filed on Nov. 30, 2023, granted, now 11,948,446, issued on Apr. 2, 2024.
Application 18/525,117 is a continuation of application No. 18/208,031, filed on Jun. 9, 2023, granted, now 11,869,330, issued on Jan. 9, 2024.
Application 18/208,031 is a continuation of application No. 17/731,956, filed on Apr. 28, 2022, granted, now 11,676,472, issued on Jun. 13, 2023.
Application 17/731,956 is a continuation of application No. 17/191,192, filed on Mar. 3, 2021, granted, now 11,322,011, issued on May 3, 2022.
Application 17/191,192 is a continuation of application No. 16/545,717, filed on Aug. 20, 2019, granted, now 10,943,461, issued on Mar. 9, 2021.
Claims priority of provisional application 62/722,420, filed on Aug. 24, 2018.
Prior Publication US 2025/0037566 A1, Jan. 30, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G08B 21/18 (2006.01); G08B 31/00 (2006.01); G08G 5/72 (2025.01); H04B 17/27 (2015.01); H04B 17/318 (2015.01)
CPC G08B 21/18 (2013.01) [G08B 31/00 (2013.01); G08G 5/727 (2025.01); H04B 17/27 (2015.01); H04B 17/318 (2015.01)] 20 Claims
OG exemplary drawing
 
1. A system for signal detection or conflict detection in an electromagnetic environment, comprising:
an analyzer engine; and
at least one electromagnetic receiver configured to generate fast Fourier transform (FFT) data based on measured power levels of at least one signal in the electromagnetic environment;
wherein the analyzer engine is operable to compare the FFT data to at least one baseline to identify at least one conflict and/or the at least one signal; and
wherein the analyzer engine is configured to use at least one machine learning algorithm to learn and update signal detection parameters.