Parsons Corporation
TIME AXIS CORRELATION OF PULSED ELECTROMAGNETIC TRANSMISSIONS

Abstract:

The disclosed invention uses computer-implemented algorithms, including machine learning algorithms, to detect radiofrequency (RF) transmissions within a congested RF environment. Some embodiments include a method for sampling an RF environment, mapping the sampled signals onto a spectrogram, extracting signal start times from the spectrogram and loading the start times into a bit array. The method continues by correlating a subset of start times with each other, each subset representing a potential pulsed signal. The subsets are selected for strength of correlation by threshold analysis, and then are subject to sine wave analysis to precisely identify start times within the selected subsets before selecting strongly matched subsets by another threshold analysis. In other embodiments, a system for detecting pulsed RF signals includes a RF receiver, a signal detector, a converter for creating a bit array, a correlator, a first threshold discriminator, a sine wave analyzer, and a second threshold discriminator.