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公开(公告)号:US11764817B2
公开(公告)日:2023-09-19
申请号:US17493622
申请日:2021-10-04
Applicant: Booz Allen Hamilton Inc.
Inventor: Ioannis Syllaios , Alex Saunders , Katherine Olsen , Michael Calabro
CPC classification number: H04B1/18 , G06F18/23 , H04B1/7101
Abstract: Exemplary embodiments of the present disclosure are directed to a machine learning-based receiver that operates on the basis of a wide-band RF front-end. The RF front-end outputs clean IQ data to a SPectrum-Analysis-Isolation-Synthesis (SPAIS) system in order to collect analytics of signals present within the monitored band of frequencies, including signal center frequencies, bandwidth and power. The SPAIS system pre-processes the captured wideband IQ data in order to locate frequency bands with signal energy, isolate and synthesize the located frequency bands in corresponding IQ data for individual processing by a neural network with high classification accuracy.