期刊
IEEE SIGNAL PROCESSING LETTERS
卷 27, 期 -, 页码 845-849出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSP.2020.2994527
关键词
Covariance matrices; Estimation; Interference; Entropy; Correlation; Array signal processing; Robustness; Covariance matrix reconstruction; maximum entropy method; robust adaptive beamforming; spatial power spectrum
资金
- Sao Paulo Research Foundation (FAPESP) through the ELIOT project [2018/12579-7, 2019/19387-9]
To ensure signal receiving quality, robust adaptive beamforming (RAB) is of vital importance in modern communications. In this letter, we propose a new low-complexity RAB approach based on interference-plus-noise covariance matrix (IPNC) reconstruction and steering vector (SV) estimation. In this method, the IPNC and desired signal covariance matrices are reconstructed by estimating all interference powers as well as the desired signal power using the principle of maximum entropy power spectrum (MEPS). Numerical simulations demonstrate that the proposed method can provide superior performance to several previously proposed beamformers.
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