US 11,988,762 B2
Systems and methods for identifying a source of radio frequency interference in a wireless network
Hector Alejandro Garcia Crespo, North Richland Hills, TX (US); Matthew Kapala, North Billerica, MA (US); Jason A. Birr, Wesley Chapel, FL (US); Ricardo Francisco Borges, Noblesville, IN (US); Brian A. Ward, Fort Worth, TX (US); and Dean P. Jarski, Rochester Hills, MI (US)
Assigned to Verizon Patent and Licensing Inc., Basking Ridge, NJ (US)
Filed by Verizon Patent and Licensing Inc., Basking Ridge, NJ (US)
Filed on Mar. 17, 2023, as Appl. No. 18/185,533.
Application 18/185,533 is a continuation of application No. 17/587,344, filed on Jan. 28, 2022, granted, now 11,635,482.
Application 17/587,344 is a continuation in part of application No. 16/896,323, filed on Jun. 9, 2020, granted, now 11,558,132, issued on Jan. 17, 2023.
Prior Publication US 2023/0221398 A1, Jul. 13, 2023
Int. Cl. G01S 5/02 (2010.01); G01S 5/00 (2006.01); H04B 17/336 (2015.01); H04W 24/10 (2009.01); H04W 64/00 (2009.01); H04W 72/541 (2023.01)
CPC G01S 5/0215 (2013.01) [G01S 5/0081 (2013.01); H04B 17/336 (2015.01); H04W 24/10 (2013.01); H04W 64/003 (2013.01); H04W 72/541 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
determining that an unknown radio frequency (RF) interference source that causes RF interference experienced by a first wireless station is a persistent RF interference source over a plurality of time intervals in a selected time period;
identifying a predicted interference source location for each time interval in the selected time period; and
calculating an aggregated predicted interference source location based on the identified predicted interference source locations.