Abstract: Techniques are described for a computing device to estimate pulse parameters. A method includes (a) receiving a digitized radio frequency (RF) signal as a digital input signal; (b) feeding the digital input signal into a plurality of input nodes of a trained Pulse Parameter Estimation Neural Network (PPENN), the PPENN having been trained using machine learning; (c) operating the trained PPENN to estimate a plurality of pulse parameters of a set of pulses embedded within a waveform of the digital input signal and to output the plurality of pulse parameters from the trained PPENN; and (d) processing the plurality of pulse parameters to further quantify the set of pulses. A system, apparatus, and computer program product for performing this method and similar methods are also described.

Abstract: Cognitive anti-jam receiver systems and associated methods are provided. The systems and methods may include a signal analysis module that processes a baseband signal to determine one or more signal characteristics of the baseband signal, the baseband signal comprising at least a desired signal; a cognitive decision unit that receives the one or more signal characteristics from the signal analysis module, and generates at least one first adaptive parameter; and at least one anti-jam processing module that processes the baseband signal to generate a modified signal that reduces an impact of at least one jammer signal on a quality of reception of the desired signal from the baseband signal, where processing by the at least one anti-jam processing module may be based at least in part on the received at least one first adaptive parameter from the cognitive decision unit.

Abstract: Cognitive anti-jam receiver systems and associated methods are provided. The systems and methods may include a signal analysis module that processes a baseband signal to determine one or more signal characteristics of the baseband signal, the baseband signal comprising at least a desired signal; a cognitive decision unit that receives the one or more signal characteristics from the signal analysis module, and generates at least one first adaptive parameter; and at least one anti-jam processing module that processes the baseband signal to generate a modified signal that reduces an impact of at least one jammer signal on a quality of reception of the desired signal from the baseband signal, where processing by the at least one anti-jam processing module may be based at least in part on the received at least one first adaptive parameter from the cognitive decision unit.