Robust statistical recognition and reconstruction scheme based on hierarchical Bayesian learning of HRR radar target signal ?
We develop a Bayesian model for complex data of high range resolution (HRR) radar. A recognition scheme robust to noise and narrowband interference is proposed. A statistical compressive sensing inversion is derived for recovery of HRR data. Efficient inference is performed via variational Bayesian. Experimental results show our methods perform better than some existing methods.
hierarchical bayesian learning high range resolution (hrr) radar compressive sensing radar automatic target recognition (ratr) markov dependency