A Compressed Sensing-Based Element Failure Diagnosis Method for Phased Array Antenna During Beam Steering

A novel diagnosis method for phased array antenna element failure using near-field measurements based on compressed sensing is proposed. In consideration of the beam steering property of phased arrays, sampling of the radiated field is performed with fixed probes. The independence of received field...

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Bibliographic Details
Published in:IEEE antennas and wireless propagation letters Vol. 18; no. 9; pp. 1756 - 1760
Main Authors: Xiong, Can, Xiao, Gaobiao, Hou, Yibei, Hameed, Musab
Format: Journal Article
Language:English
Published: New York IEEE 01.09.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Antenna arrays
Antennas
Approximation
Arrays
Beam steering
Compressed sensing (CS)
Detection
Diagnosis
Dipoles
Excitation
Mathematical analysis
Matrix algebra
Matrix methods
onsite failure diagnosis
Optimization
Phase measurement
phased array antenna
Phased arrays
Probes
Sensors
Sparse matrices
sparse reconstruction
ISSN:1536-1225, 1548-5757
Online Access:Get full text
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Summary:A novel diagnosis method for phased array antenna element failure using near-field measurements based on compressed sensing is proposed. In consideration of the beam steering property of phased arrays, sampling of the radiated field is performed with fixed probes. The independence of received field data is attained in the phase domain instead of the conventional spatial domain. It yields a new way to construct the sensing matrix and, hence, the measurement vector. This strategy enables onsite diagnosis while the array under test is still scanning regularly. The reconstruction of antenna element excitations is achieved via sparse approximation methods. A nonconvex optimization algorithm is utilized to reconstruct the unknown excitation amplitudes in consideration of noise. The detection area of a single probe is limited. Arrays consisting of isotropic antennas and Hertzian dipoles are tested to verify the effectiveness of the proposed method.
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ISSN:1536-1225
1548-5757
DOI:10.1109/LAWP.2019.2929353