Results 231 to 240 of about 269,186 (284)

Sparse array performance

The Journal of the Acoustical Society of America, 1977
A sparse array is formed from a linear equi-spaced array by omitting elements and substituting self- and crosspower terms from remaining elements to preserve the pattern and gain characteristics of the full array. However, the output noise is generally increased for any given averaging time.
Charles R. Greene, Roger C. Wood
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Sparse Bayesian learning for beamforming using sparse linear arrays

The Journal of the Acoustical Society of America, 2018
Sparse linear arrays such as co-prime and nested arrays can resolve more sources than the number of sensors. In contrast, uniform linear arrays (ULA) cannot resolve more sources than the number of sensors. This paper demonstrates this using Sparse Bayesian learning (SBL) and co-array MUSIC for single frequency beamforming.
Santosh, Nannuru, Ali, Koochakzadeh, Kay L, Gemba, Piya, Pal, Peter, Gerstoft   +4 more
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Sparse Cylindrical Sonar Arrays

IEEE Journal of Oceanic Engineering, 2008
Sparse arrays offer a means for reducing the cost and complexity of beamforming systems. Most of the work in the literature has focused on sparse linear arrays with isotropic transducer elements, which simplifies analysis greatly. In this paper, we will focus on multibeam cylindrical arrays using highly directive elements for use in fishery ...
J.E. Kirkebo, A. Austeng
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Stochastic optimization of linear sparse arrays

IEEE Journal of Oceanic Engineering, 1999
In conventional beamforming systems, the use of aperiodic arrays is a powerful way to obtain high resolution employing few elements and avoiding the presence of grating lobes. The optimized design of such arrays is a required task in order to control the side-lobe level and distribution.
TRUCCO, ANDREA, V. MURINO
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DOA Estimation Using Compressed Sparse Array

IEEE Transactions on Signal Processing, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Muran Guo, Yimin D. Zhang, Tao Chen
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Sparse array synthesis via Alternating Projections

2009 IEEE Antennas and Propagation Society International Symposium, 2009
Constrained array synthesis via the Alternating Projections technique [1, 2, 3] usually entails the straightforward integration of pre-existing formulations/tools for unconstrained synthesis and non-linear solvers. Moreover, the simple introduction of rather general design specifications and constraints makes it a useful tool in realistic applications.
ARAQUE QUIJANO, JAVIER LEONARDO, GIUSEPPE VECCHI   +1 more
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Coherent array imaging with sparse arrays

Proceedings., International Conference on Image Processing, 2002
For coherent, phased-array imaging systems, sparse arrays are often used in which the aperture is not completely filled by the array. Often, the data that are not collected by the array are set to zero and an image is obtained through a straight-forward Fourier inversion.
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Sparse Array Signal Processing

2023
This dissertation details three approaches for direction-of-arrival (DOA) estimation or beamforming in array signal processing from the perspective of sparsity. In the first part of this dissertation, we consider sparse array beamformer design based on the alternating direction method of multipliers (ADMM); in the second part of this dissertation, the ...
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Maximally economic sparse arrays and cantor arrays

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017
Sparse arrays, where the sensors are properly placed with nonuniform spacing, are able to resolve more uncorrelated sources than sensors. This ability arises from the property that the difference coarray, defined as the differences between sensor locations, has many more consecutive integers (hole-free) than the number of sensors.
Liu, Chun-Lin, Vaidyanathan, P. P.
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Sonar array signal processing for sparse linear arrays

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359), 2003
Acoustic signals which propagate through the ocean have wavefronts which can differ significantly from the "planar wavefronts" assumed in array signal processing. In this paper we investigate the performance of the the minimum variance distortionless response (MVDR) beamformer and the previously introduced Fourier integral method (FIM), when applied to
I.S.D. Solomon, A.J. Knight, M.V. Greening   +2 more
openaire   +1 more source