1997
DOI: 10.1109/58.655623
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Properties of the beampattern of weight- and layout-optimized sparse arrays

Abstract: Theory for random arrays predicts a mean sidelobe level given by the inverse of the number of elements. In practice, however, the sidelobe level fluctuates much around this mean. In this paper two optimization methods for thinned arrays are given: one is for optimizing the weights of each element, and the other one optimizes both the layout and the weights. The weight optimization algorithm is based on linear programming and minimizes the peak sidelobe level for a given beamwidth. It is used to investigate the… Show more

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Cited by 127 publications
(77 citation statements)
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“…This work focuses on the synthesis of reconfigurable multiple patterns with fewer elements by selecting the common ones with optimized excitation amplitudes and phases. Some synthesis methods by using nonuniform element positions [16][17][18][19][20][21][22], or by applying thinning techniques [23][24][25], have been presented to effectively reduce the number of elements. However, these reviewed techniques are proposed for the synthesis of single-pattern arrays.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…This work focuses on the synthesis of reconfigurable multiple patterns with fewer elements by selecting the common ones with optimized excitation amplitudes and phases. Some synthesis methods by using nonuniform element positions [16][17][18][19][20][21][22], or by applying thinning techniques [23][24][25], have been presented to effectively reduce the number of elements. However, these reviewed techniques are proposed for the synthesis of single-pattern arrays.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the choice of a symmetrical layout and symmetrical amplitudes can greatly simplify the beamforming network. Hence, this choice has been widely adopted by many single-pattern synthesis methods, for example, in [23] and [31]. To cast the problem of finding the common element positions for multiple patterns into the form of linear programming, we introduce an auxiliary variable to define the common upper bound of the real and imaginary parts of multiple excitations for each element.…”
Section: Introductionmentioning
confidence: 99%
“…However, the results indicate that the grating lobe levels are at least 6 dB below the intensity at the focus; serious damage on normal tissue is not expected. In addition, a sparse array (64 active elements) can benefit from the reduced number of elements compared with a full matrix array (195 elements) [14,29].…”
Section: Computational Simulationsmentioning
confidence: 99%
“…However, it is not easy to implement a large-scale element array because of its high cost, which has been a major factor inhibiting its wider application within the field of medical ultrasound imaging [9]. To resolve this problem, sparse array technology has been studied [10][11][12]. By randomly eliminating some elements, sparse arrays can reduce the number of elements while maintaining sharply focused beams.…”
Section: Introductionmentioning
confidence: 99%