Analog to Information (A2I) Sensing for Software Defined Receivers
Compressive sensing is based on the notion that the information content of a signal may be much less than its instantaneous bandwidth, and that this signal"sparseness"can be exploited directly during the sensing operation. When applied to the sampling of pulsed Radar signals, compressive sensing can allow Radar signals to be sampled below (possibly well below) the Nyquist rate, allowing for a very small yet flexible software defined Radar Warning Receiver (RWR). This compressive based RWR can detect and parameterize unknown received radar signals over the frequency range from 0.1-20 GHz and can provide parameter estimation of the Received power, Carrier Frequency, PRF, and Pulse Width. In this Phase II we will develop a prototype compressive based RWR in order to validate its performance against simulated radar signals.
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