Compressive sensing-based approach to the design of linear robust sparse antenna arrays with physical size constraint

In sparse arrays, the randomness of antenna locations avoids the introduction of grating lobes, while allowing adjacent antenna spacings to be greater than half a wavelength. This means a larger array size can be implemented using a relatively small number of antennas. However, careful consideration...

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Published inIET microwaves, antennas & propagation Vol. 8; no. 10; pp. 736 - 746
Main Authors Hawes, Matthew B, Liu, Wei
Format Journal Article
LanguageEnglish
Published Stevenage The Institution of Engineering and Technology 01.07.2014
Institution of Engineering and Technology
The Institution of Engineering & Technology
Subjects
Acceptability
adjacent antenna spacings
Antenna arrays
antenna locations
antenna radiation patterns
Antennas
Applied sciences
Arrays
compressed sensing
compressive sensing‐based approach
Exact sciences and technology
genetic algorithm‐based approach
Genetics
linear robust sparse antenna arrays
Mathematical analysis
Narrowband
Perturbation methods
physical size constraint
Radiocommunications
Telecommunications
Telecommunications and information theory
antenna locations
linear robust sparse antenna arrays
compressed sensing
adjacent antenna spacings
antenna radiation patterns
compressive sensing-based approach
antenna arrays
genetic algorithm-based approach
physical size constraint
Performance evaluation
Sparse array
Evolutionary algorithm
Spacing
Perturbation
Narrow band
Implementation
Genetic algorithm
Minimal distance
Linear antenna arrays
Localization
Antenna array
Comparative study
Compressed sensing
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Abstract In sparse arrays, the randomness of antenna locations avoids the introduction of grating lobes, while allowing adjacent antenna spacings to be greater than half a wavelength. This means a larger array size can be implemented using a relatively small number of antennas. However, careful consideration has to be given to antenna locations to ensure that an acceptable performance level is achieved. Model perturbations can also cause steering vector errors, which in turn cause discrepancies in the array's response, making robust arrays desirable. This study presents various compressive sensing-based methods that can solve this problem, while also imposing the antenna size as a constraint on the minimum adjacent antenna separations. Narrowband and multiband design examples are presented to verify the effectiveness of the proposed design methods, with comparisons being drawn with a previously proposed genetic algorithm-based approach.
AbstractList In sparse arrays, the randomness of antenna locations avoids the introduction of grating lobes, while allowing adjacent antenna spacings to be greater than half a wavelength. This means a larger array size can be implemented using a relatively small number of antennas. However, careful consideration has to be given to antenna locations to ensure that an acceptable performance level is achieved. Model perturbations can also cause steering vector errors, which in turn cause discrepancies in the array's response, making robust arrays desirable. This study presents various compressive sensing-based methods that can solve this problem, while also imposing the antenna size as a constraint on the minimum adjacent antenna separations. Narrowband and multiband design examples are presented to verify the effectiveness of the proposed design methods, with comparisons being drawn with a previously proposed genetic algorithm-based approach.
Author Liu, Wei
Hawes, Matthew B
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  givenname: Wei
  surname: Liu
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  email: w.liu@sheffield.ac.uk
  organization: Communications Research Group, Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, UK
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Issue 10
Keywords antenna locations
linear robust sparse antenna arrays
compressed sensing
adjacent antenna spacings
antenna radiation patterns
compressive sensing-based approach
antenna arrays
genetic algorithm-based approach
physical size constraint
Performance evaluation
Sparse array
Evolutionary algorithm
Spacing
Perturbation
Narrow band
Implementation
Genetic algorithm
Minimal distance
Linear antenna arrays
Localization
Antenna array
Comparative study
Compressed sensing
Language English
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Snippet In sparse arrays, the randomness of antenna locations avoids the introduction of grating lobes, while allowing adjacent antenna spacings to be greater than...
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SubjectTerms Acceptability
adjacent antenna spacings
Antenna arrays
antenna locations
antenna radiation patterns
Antennas
Applied sciences
Arrays
compressed sensing
compressive sensing‐based approach
Exact sciences and technology
genetic algorithm‐based approach
Genetics
linear robust sparse antenna arrays
Mathematical analysis
Narrowband
Perturbation methods
physical size constraint
Radiocommunications
Telecommunications
Telecommunications and information theory
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Title Compressive sensing-based approach to the design of linear robust sparse antenna arrays with physical size constraint
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