Generation of Bessel limited-diffraction beams with hexagonal sparse arrays

2000 ◽  
Author(s):  
Nariman Majdi Nasab ◽  
Shahram Shirani ◽  
Mostafa Analoui
Keyword(s):  
Sparse Arrays

scholarly journals Selector table indexing & sparse arrays

1993 ◽  
Vol 28 (10) ◽  
pp. 259-270 ◽  
Author(s):  
Karel Driesen
Keyword(s):  
Sparse Arrays

Pruned Distributed and Parallel Subarray Beamforming for 3-D Underwater Imaging With Fine-Grid Sparse Arrays

2021 ◽  
pp. 1-16
Author(s):  
Dongdong Zhao ◽  
Peng Chen ◽  
Yingtian Hu ◽  
Ronghua Liang ◽  
Haixia Wang ◽  
...  
Keyword(s):  
Underwater Imaging ◽  
Fine Grid ◽  
Sparse Arrays ◽  
Subarray Beamforming

scholarly journals Hybrid Beamforming for Active Sensing Using Sparse Arrays

2020 ◽  
Vol 68 ◽  
pp. 6402-6417
Author(s):  
Robin Rajamaki ◽  
Sundeep Prabhakar Chepuri ◽  
Visa Koivunen
Keyword(s):  
Active Sensing ◽  
Sparse Arrays ◽  
Hybrid Beamforming

scholarly journals A NOVEL IGA-EDSPSO HYBRID ALGORITHM FOR THE SYNTHESIS OF SPARSE ARRAYS

2009 ◽  
Vol 89 ◽  
pp. 121-134 ◽  
Author(s):  
Shuai Zhang ◽  
Shu-Xi Gong ◽  
Ying Guan ◽  
Peng-Fei Zhang ◽  
Qi Gong
Keyword(s):  
Hybrid Algorithm ◽  
Sparse Arrays

scholarly journals Thinning and Weighting of Planar/Conformal Arrays Considering Mutual Coupling Effects

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
You-Feng Cheng ◽  
Wei Shao ◽  
Ran Zhang ◽  
Xiao Ding ◽  
Meng-Xia Yu
Keyword(s):  
Mutual Coupling ◽  
Differential Evolution Algorithm ◽  
Far Field ◽  
Field Calculation ◽  
Sidelobe Suppression ◽  
Sparse Arrays ◽  
Low Sidelobe ◽  
Key Points ◽  
Element Pattern ◽  
Synthesis Approach

Based on an improved active element pattern (AEP) technique, a novel effective method for sidelobe suppression considering mutual coupling (MC) in planar and conformal sparse arrays is proposed in this paper. A thinning and weighting process that includes the thinning module, optimization module, and far-field calculation module is presented, and three key points, namely, the modified AEP modeling, far-field calculation of planar and conformal thinned arrays, and modified thinning strategy, are highlighted. As an effective optimization algorithm, the differential evolution algorithm (DEA) is adopted in order to achieve low sidelobe. Several numerical examples are shown to validate the consistency and effectiveness of the proposed synthesis approach. With the first use of the AEP technique for the synthesis of sparse arrays, the planar and conformal microstrip arrays with the desired array filling factor are studied to obtain the expected sidelobe level (SLL).

Improving the Image Resolution in Diverging Wave Compounding Using the Sparse Arrays Method Combined with the Minimum Variance

2021 ◽  
Author(s):  
Acacio Jose Zimbico ◽  
Fabio Kurt Schneider ◽  
Joaquim Miguel Maia ◽  
Larissa Comar Neves ◽  
Felipe Meira Ribas ◽  
...  
Keyword(s):  
Minimum Variance ◽  
Image Resolution ◽  
Sparse Arrays
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