Bayesian compressive sensing for adaptive measurement of radar signal

Abstract

The theory of Bayesian Compressive Sensing is briefly introduced. An evaluation index based on differential entropy of estimated signal is devised and the adaptive compressive measurement procedure without any prior information about the measured signals is presented in block manner. Numerical simulations on random step signal and real radar signal verify that the adaptive algorithm has good performance. This novel offers great potential for adaptive compressive measuring real time signal.