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A Two-Level Weighted Low-Complexity Adaptive Beamforming Method
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DOI：10.1109/LSP.2025.3551957.png)
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Abstract
En 中文
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.
Keywords:
Interference
Antenna arrays
Signal to noise ratio
Array signal processing
Noise
Vectors
Computational complexity
Signal processing algorithms
Covariance matrices
Receiving antennas
Two-level weighted
adaptive beamforming
signal to interference plus noise ratio
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