Algorithm to obtain arbitrary coarrays using synthetic aperture techniques

Martín, Carlos Javier Blanco; Martínez-Graullera, Óscar; Octavio, A.; Montero, F.; Ullate, L.G.

doi:10.1109/sam.2008.4606862

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…Sparse coarray sampling has proved valuable on modifying ULA directivity properties [33][34][35][36]. This is an usual strategy for resource minimisation [37,38]-i.e., coarray elements decimation-or to formulate effective acquisition strategies, at the expense of a minimum performance loss. All these approaches struggle between resolution improvement and lobes artefacts minimisation.…”

Section: Rician Beamformermentioning

confidence: 99%

Rician Beamforming: Despeckle Method via Coarray Projection Stochastic Analysis

Yagüe-Jiménez¹,

Rodríguez²,

Parrilla³

et al. 2020

Applied Sciences

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Current computation capabilities normal, Delay and Sum (DAS) and Total Focusing Method (TFM) allow new definitions for beamformers. In this paper, a new beamforming method is proposed. It exploits diversity across pixel data after focusing process. The method is based on statistical analysis and sparse array concept. It avoids common aberrations introduced by beamforming process without loosing the original image texture, producing a better quality image. We evaluate the proposed method through simulation on standard phantoms. Images resulting from our novel method display better quality and provide localised estimations on image noise.

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Section: Rician Beamformermentioning

confidence: 99%

Rician Beamforming: Despeckle Method via Coarray Projection Stochastic Analysis

Yagüe-Jiménez¹,

Rodríguez²,

Parrilla³

et al. 2020

Applied Sciences

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Coarray Synthesis Based on Polynomial Decomposition $ $

Martín

Martínez-Graullera

Godoy³

et al. 2010

IEEE Trans. on Image Process.

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Synthetic aperture (SA) techniques have been frequently used to reduce the volume and complexity of the imaging systems. A useful tool for designing synthetic aperture configurations is the coarray. This is the virtual aperture that produces in one way the same beam pattern as the SA system in emission and reception. In this correspondence, we propose a new algorithm, based on the polynomial decomposition, that allows to obtain any wanted coarray on a linear array using whatever synthetic aperture configuration. With this fast and simple algorithm, the desired coarray is decomposed into a set of sub-apertures, whose length is determined by the requirements and resources of the system. The result is the set of weights that have to be applied on the sub-apertures to get the desired coarray, and consequently, the wanted beam pattern.

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Algorithm to obtain arbitrary coarrays using synthetic aperture techniques

Cited by 2 publications

References 12 publications

Rician Beamforming: Despeckle Method via Coarray Projection Stochastic Analysis

Rician Beamforming: Despeckle Method via Coarray Projection Stochastic Analysis

Coarray Synthesis Based on Polynomial Decomposition $ $

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