PROJECT TITLE :

Array Failure Diagnosis Using Nonconvex Compressed Sensing

ABSTRACT:

The array diagnosis technique based mostly on nonconvex compressed sensing approach is introduced for a uniform linear array. During this sense, lp minimization drawback with p <; one is proposed for array diagnosis downside and it's solved employing a weighted least squares approach. The proposed approach locates the faulty parts using less far-field measurements compared to the quality l1 minimization.