A Deterministic Far-Field Sampling Strategy for Array Diagnosis Using Sparse Recovery

A deterministic sampling strategy for failure identification in uniform linear arrays using compressed sensing/sparse recovery technique is proposed. Numerical results confirm the good performance of the technique described in this letter compared to the mean performance of the method based on rando...

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Bibliographic Details
Published in:IEEE antennas and wireless propagation letters Vol. 17; no. 7; pp. 1261 - 1265
Main Authors: Li, Wei, Deng, Weibo, Migliore, Marco Donald
Format: Journal Article
Language:English
Published: New York IEEE 01.07.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Antenna arrays
Antenna measurements
array antennas
Arrays
compressed sensing (CS)
fault diagnosis
Indexes
Linear arrays
Linear matrix inequalities
Random sampling
Recovery
Sampling techniques
Sensors
Sparse matrices
Strategy
ISSN:1536-1225, 1548-5757
Online Access:Get full text
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Summary:A deterministic sampling strategy for failure identification in uniform linear arrays using compressed sensing/sparse recovery technique is proposed. Numerical results confirm the good performance of the technique described in this letter compared to the mean performance of the method based on random sampling strategy.
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content type line 14
ISSN:1536-1225
1548-5757
DOI:10.1109/LAWP.2018.2841650