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Improved wideband sparse array synthesis with minimum element spacing constraint using sparse reconstruction.

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Title: Improved wideband sparse array synthesis with minimum element spacing constraint using sparse reconstruction.
Authors: Zhou, Wenjing1 (AUTHOR), Zhou, Hongen2 (AUTHOR), Shen, Mingwei3 (AUTHOR) smw_hhu1981@163.com
Source: Journal of Electromagnetic Waves & Applications. Jul2026, Vol. 40 Issue 11, p1882-1895. 14p.
Subjects: Sparse approximations, Array processing, Iterative methods (Mathematics), Sparse matrices, Signal processing
Abstract: A sparse reconstruction strategy based on wideband aperture crossing correction and minimum array spacing constraint is proposed for the wideband sparse array synthesis problem with mutual coupling of array elements. The dictionary matrix after high-precision delay compensation using integer delay lines and low complexity Farrow structured variable fractional delay (LcFarrow-VFD) filters is constructed. By introducing the class focusing matrix, the phase compensation term and the sparse excitation value are solved simultaneously to reduce the dictionary matrix dimension. The cost function is established based on the minimum array spacing constraint, and the class binary reweighted alternating iterative algorithm is proposed. The experimental results show that under the minimum array spacing control, the main lobe normalization error of the multisampling frequency pattern is within 0.1dB, the maximum side lobe level is lower than −15dB, and the sparse rate of the array element is close to 40%. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:A sparse reconstruction strategy based on wideband aperture crossing correction and minimum array spacing constraint is proposed for the wideband sparse array synthesis problem with mutual coupling of array elements. The dictionary matrix after high-precision delay compensation using integer delay lines and low complexity Farrow structured variable fractional delay (LcFarrow-VFD) filters is constructed. By introducing the class focusing matrix, the phase compensation term and the sparse excitation value are solved simultaneously to reduce the dictionary matrix dimension. The cost function is established based on the minimum array spacing constraint, and the class binary reweighted alternating iterative algorithm is proposed. The experimental results show that under the minimum array spacing control, the main lobe normalization error of the multisampling frequency pattern is within 0.1dB, the maximum side lobe level is lower than −15dB, and the sparse rate of the array element is close to 40%. [ABSTRACT FROM AUTHOR]
ISSN:09205071
DOI:10.1080/09205071.2026.2659731