An Effective Compressed-Sensing Inspired Deterministic Algorithm for Sparse Array Synthesis

The aim of this paper is to discuss a novel technique for sparse array synthesis. The synthesis strategy is based on a sparse-forcing algorithm using an improvement of the reweighted <inline-formula> <tex-math notation="LaTeX">\ell _{1} </tex-math></inline-formula>...

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Published inIEEE transactions on antennas and propagation Vol. 66; no. 1; pp. 149 - 159
Main Authors Pinchera, Daniele, Migliore, Marco Donald, Schettino, Fulvio, Lucido, Mario, Panariello, Gaetano
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Antenna arrays
Antenna measurements
antenna radiation pattern synthesis
Compressed sensing
Convergence
Minimization
optimization methods
Radar antennas
sparse array antennas
Synthesis
Online AccessGet full text
ISSN0018-926X
1558-2221
DOI10.1109/TAP.2017.2767621

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Abstract The aim of this paper is to discuss a novel technique for sparse array synthesis. The synthesis strategy is based on a sparse-forcing algorithm using an improvement of the reweighted <inline-formula> <tex-math notation="LaTeX">\ell _{1} </tex-math></inline-formula> minimization proposed in the framework of the compressed-sensing literature, specifically modified in order to tailor both linear and conformal array synthesis problems. The numerical examples show that the proposed algorithm improves the results provided by concurrent techniques, reducing the number of radiating elements and/or the computational effort.
AbstractList The aim of this paper is to discuss a novel technique for sparse array synthesis. The synthesis strategy is based on a sparse-forcing algorithm using an improvement of the reweighted [Formula Omitted] minimization proposed in the framework of the compressed-sensing literature, specifically modified in order to tailor both linear and conformal array synthesis problems. The numerical examples show that the proposed algorithm improves the results provided by concurrent techniques, reducing the number of radiating elements and/or the computational effort.
The aim of this paper is to discuss a novel technique for sparse array synthesis. The synthesis strategy is based on a sparse-forcing algorithm using an improvement of the reweighted <inline-formula> <tex-math notation="LaTeX">\ell _{1} </tex-math></inline-formula> minimization proposed in the framework of the compressed-sensing literature, specifically modified in order to tailor both linear and conformal array synthesis problems. The numerical examples show that the proposed algorithm improves the results provided by concurrent techniques, reducing the number of radiating elements and/or the computational effort.
Author Pinchera, Daniele
Migliore, Marco Donald
Panariello, Gaetano
Lucido, Mario
Schettino, Fulvio
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  givenname: Marco Donald
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  surname: Migliore
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  surname: Schettino
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  givenname: Gaetano
  surname: Panariello
  fullname: Panariello, Gaetano
  email: panariello@unicas.it
  organization: ELEDIA@UniCAS and DIEI, University of Cassino and Southern Lazio, Cassino, Italy
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SubjectTerms Algorithms
Antenna arrays
Antenna measurements
antenna radiation pattern synthesis
Compressed sensing
Convergence
Minimization
optimization methods
Radar antennas
sparse array antennas
Synthesis
Title An Effective Compressed-Sensing Inspired Deterministic Algorithm for Sparse Array Synthesis
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