Compressive Sensing in Pulse Radar using Prior Information

Compressive sensing techniques have been widely used in data acquisition/signal processing methods that deal with sparse signals with far fewer number of measurements than the Nyquist rate. Moreover, prior information of the signal of interest might be useful for further improvements in the compressive sensing process. This paper introduces a new formula to deal with the prior information in pulsed radar along with an idea of exploiting the previously received signal to be used as prior information for the current signal in the new proposed reconstruction optimization formula. The performance of the compressive sensing reconstruction and detection are analyzed in different scenarios by means of receiver operating characteristics (ROC). The simulation results demonstrate the feasibility and the competence of the proposed formula.