Sub-Array Processing for parameters estimate of embedded conducting cylinders

A hybrid electromagnetic-statistic approach for the detection and localization of buried perfectly-conducting circular cylinders is presented. The data used for simulating the scenario are produced by using the cylindrical wave approach (CWA) method. The inverse scattering problem is treated by means of a statistical detection technique. In particular, by the use of a SAP (sub-array processing) structure, it is possible to apply several algorithms of direction of arrival (DOA) estimation. By triangulating the DOAs, a set of crossings, condensed around the expected object locations, is obtained. To process the crossing pattern, we develop a statistical model for the crossings distribution, and employ hypothesis testing procedures to identify a collection of small windows containing targets. By defining a suitable threshold from a desired false alarm rate, and dividing the region in small windows it is possible to ascribe each window to the ground or to an object.