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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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
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Abstract 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.
AbstractList 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.
Author Li, Wei
Migliore, Marco Donald
Deng, Weibo
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  organization: DIEI, Universitá di Cassino e del Lazio Meridionale, Cassino, Italy
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SubjectTerms 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
Title A Deterministic Far-Field Sampling Strategy for Array Diagnosis Using Sparse Recovery
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Volume 17
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