Failures identification in a linear slot array using a sparse recovery technique

This contribution presents some experimental results carried out in the framework of a joint research between the University of Cassino and the University of Calabria (Italy) regarding a technique for array diagnosis based on sparse recovery technique. The results confirm that the method is able to accurately identify the fault elements using a number of measurements smaller than other techniques based on backpropagation or inverse matrix computation.