The low sidelobe level high-gain adaptive beamforming method for uniform subarrays
Yuxi Du, Weijia Cui, Bin Ba, Guanghui Su, Long Zhang · 2025
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Description
Yuxi Du, Weijia Cui, Bin Ba, Guanghui Su, and Long Zhang sharpen radar beamforming for uniform subarrays in a 2025 paper. Array radars in cluttered electromagnetic settings must lift weak signals, spot targets, resist jamming, and save power. Their method steers the beam with low side lobes and high gain while shrinking the math.
Element level weighting first corrects delays inside each subarray. A subarray level interference and noise model follows, and weights are solved step by step with a Lagrange method. Virtual interference signals are injected each round until the weights settle. Theory and simulations back the design, which claims full output performance at a much lower computing dimension than standard adaptive methods.
Catalog record
| CREATOR | Yuxi Du, Weijia Cui, Bin Ba, Guanghui Su, Long Zhang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 51 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |