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MUSIC Algorithms for Grid Diagnostics

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2 Author(s)
Raffaele Solimene ; Dipartimento di Ingegneria dell'Informazione, Seconda Università di Napoli, Aversa, Italy ; Giovanni Leone

The problem of detecting and localizing missing scatterers (faults) inside a known grid of small cross-sectional perfect-electric-conducting cylinders is dealt with. The case of a TM scalar 2-D geometry is considered, and the Multiple Signal Classification (MUSIC) spectral estimation technique is employed. Two different scattering models are employed and compared. The first one aims at localizing present objects within a free-space background medium. The second one aims at detecting the faults and exploits the Green's function of the full grid. The limitations of the first approach are pointed out and connected to the maximum dimension of the data space. Then, the second approach performs successfully when the fault number is lower than scattering objects.

Published in:

IEEE Geoscience and Remote Sensing Letters  (Volume:10 ,  Issue: 2 )