Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 67, Issue 9, Pages 8495-8503Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2018.2849646
Keywords
Robust adaptive beamforming; covariance matrix reconstruction; interference-plus-noise covariance matrix; steering vector estimation; power estimation
Categories
Funding
- National Natural Science Foundation of China [61571081, 61671120]
- 111 Project [B14039]
- Key Project of Sichuan Education Department of China [18ZA0221]
- Fundamental Research Funds for the Central Universities of China [2672018ZYGX2018J003]
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To ensure link reliability and signal receiving quality, robust adaptive beamforming (RAB) is vital important in mobile communications. In this paper, we propose a new RAB algorithm based on interference-plus-noise covariance (INC) matrix reconstruction and steering vector (SV) estimation. In this method, the INC matrix is reconstructed by estimating all interferences SVs and powers, as well as the noise power. The interference SVs are estimated by using the Capon spatial spectrum together with robust Capon beamforming principle, subsequently the interference powers are estimated based on the orthogonality between different signal SVs. On the other hand, the desired signal SV is estimated via maximizing the beamformer output power by solving a quadratic convex optimization problem. The proposed algorithm only needs to know in advance the array geometry and angular sector, in which the desired signal lies. Simulation results indicate that the proposed algorithm outperforms the existing RAB techniques in terms of the overall performance in cases of various mismatches.
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