Adaptive Beamforming
Adaptive Beamforming is a signal processing technique in array systems that dynamically adjusts the complex weights of sensor elements to enhance the reception or transmission of signals in desired directions while suppressing interference and noise, distinguished from conventional beamforming by its data-dependent optimization of the beam pattern in real time.
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95.5K
Citations
3.6K
Authors
961
Institutions
Publications per year
2017–2026
389
1.8K
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University of Electronic Science and Technology of China
Chengdu, China
26 h-index
155 publications
6.9K citations
Nanyang Technological University
Singapore, Singapore
22 h-index
89 publications
3.3K citations
MIT Lincoln Laboratory
Lexington, United States
22 h-index
51 publications
3.3K citations
Massachusetts Institute of Technology
Cambridge, United States
21 h-index
35 publications
3.8K citations

Xidian University
Xi'an, China
21 h-index
108 publications
3.3K citations
The Ohio State University
Columbus, United States
20 h-index
40 publications
2.3K citations
Stanford University
Stanford, United States
19 h-index
44 publications
6K citations

University of York
York, United Kingdom
17 h-index
49 publications
1.8K citations
1–8 of 961
142 publications · 14.6K citations
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91 publications · 6.7K citations
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67 publications · 4.7K citations
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41 publications · 3.3K citations
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69 publications · 2.7K citations
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