Name
Title | ||
|---|---|---|
Radar array diagnosis from undersampled data using a compressed sensing/sparse recovery technique |
Abstract | ||
|---|---|---|
A Compressed Sensing/Sparse Recovery approach is adopted in this paper for the accurate diagnosis of fault array elements from undersampled data. Experimental validations on a slotted waveguide test array are discussed to demonstrate the effectiveness of the proposed procedure in the failures retrieval froma small set of measurements with respect to the number of radiating elements. Due to the sparsity feature of the proposed formulation, the method is particularly appealing for the diagnostics of large arrays, typically adopted for radar applications. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1155/2013/627410 | J. Electrical and Computer Engineering |
Keywords | Field | DocType |
radar array diagnosis,accurate diagnosis,failures retrieval froma,proposed procedure,fault array element,sparse recovery approach,experimental validation,large array,sparse recovery technique,proposed formulation,undersampled data,slotted waveguide test array,compressed sensing | Radar,Slotted waveguide,Computer science,Electronic engineering,Small set,Compressed sensing | Journal |
Volume | ISSN | Citations |
2013, | 2090-0147 | 1 |
PageRank | References | Authors |
0.48 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Costanzo | 1 | 24 | 4.75 |
| A. Borgia | 2 | 24 | 4.99 |
| G. Di Massa | 3 | 15 | 3.37 |
| D. Pinchera | 4 | 3 | 1.89 |
| M. D. Migliore | 5 | 12 | 5.63 |