A Two-Level Weighted Low-Complexity Adaptive Beamforming Method
Aiming at the problem of high computational complexity of adaptive beamforming techniques in array radar systems, a two-level weighted low-complexity adaptive beamforming method is proposed in this letter. First, the uniform linear array is divided into subarrays and each subarray has the same elements. The desired signal received by each array element in the subarray is then superimposed by compensating for the delay using a first level weighting. Finally, the interference signals and noise are suppressed using a second level weighting to obtain the ideal output signal to interference plus noise ratio. Simulation results verify the effectiveness and reliability of the proposed method.
Authors
- Bin Ba (ORCID: https://orcid.org/0000-0002-7302-2994)
- Yang Du (ORCID: https://orcid.org/0000-0003-2254-778X)
- Weijia Cui (ORCID: https://orcid.org/0000-0003-4738-9167)
- Long Zhang (ORCID: https://orcid.org/0000-0002-7283-4800)
- Yangyang Chen (ORCID: https://orcid.org/0000-0001-9349-4246)
Institutions
- PLA Information Engineering University (CN)
Publication Details
- Journal
- IEEE Signal Processing Letters
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/lsp.2025.3551957
- Citations
- 1
- Primary Topic
- Advanced Adaptive Filtering Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.33
Funders
- National Natural Science Foundation of China