Radar Array Diagnosis from Undersampled Data Using a Compressed Sensing/Sparse Recovery Technique
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 retrie...
Saved in:
| Main Authors: | S. Costanzo, A. Borgia, G. Di Massa, D. Pinchera, M. D. Migliore |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2013/627410 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Compressed Sensing: Applications in Radar and Communications
by: Sandra Costanzo, et al.
Published: (2016-01-01) -
Pattern Synthesis for Sparse Arrays by Compressed Sensing and Low-Rank Matrix Recovery Methods
by: Ting Wang, et al.
Published: (2018-01-01) -
Exact CS Reconstruction Condition of Undersampled Spectrum-Sparse Signals
by: Ying Luo, et al.
Published: (2013-01-01) -
Distributed Phased-Array Radars Exploiting Collaborative Beamforming and Diversity Techniques for Remote Sensing Applications
by: Sandra Costanzo, et al.
Published: (2025-01-01) -
Sparse Signal Recovery by Stepwise Subspace Pursuit in Compressed Sensing
by: ZheTao Li, et al.
Published: (2013-08-01)