1992
DOI: 10.1109/5.119572
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Basic array theory

Abstract: This paper outlines basic antenna array theory with major emphasis on pattern analysis and synthesis for periodic linear and planar arrays, phased arrays, and conformal arrays. Extension is made to synthesis techniques which use computer algorithms. These include arbitrary side lobe control, shaped beams, and phase-only null steering. The subjects of random errors and phased array quantization errors are outlined.

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Cited by 97 publications
(50 citation statements)
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References 26 publications
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“…Two methods are used to calculate the driving voltage weighting vector of the transducer array. The first method is the conventional beamforming method in which the weighting vector is calculated by phase compensation according to the geometrical positions of the elements by the plane wave model without considering the baffle effect and mutual interactions among elements [14]. The other method is the boundary element model optimization method proposed in this paper, denoted by proposed method 1, which uses Eq.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…Two methods are used to calculate the driving voltage weighting vector of the transducer array. The first method is the conventional beamforming method in which the weighting vector is calculated by phase compensation according to the geometrical positions of the elements by the plane wave model without considering the baffle effect and mutual interactions among elements [14]. The other method is the boundary element model optimization method proposed in this paper, denoted by proposed method 1, which uses Eq.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…Works [29,30] discussed spatial aliasing effects for the case of linear arrays. Spatial aliasing in linear arrays prevented localization of all sources.…”
Section: Nyquist Criteriamentioning
confidence: 99%
“…The calculation of the Moore-Penrose pseudo-inverse for Γ is equivalent to (17) only when Γ is not close to being singular. A robust way to calculate G is to use the Singular Value Decomposition (SVD).…”
Section: Sound Localizationmentioning
confidence: 99%
“…Works [16], [17] discussed spatial aliasing effects for the case of linear arrays. Spatial aliasing in linear arrays prevented localization of all sources.…”
Section: Criteriamentioning
confidence: 99%