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The eigenspace-based (ESB) beamformer provides much robustness to pointing errors. However, it couldn't deal with small sample size which could degrade its performance severely. Forward-backward smoothing technique can improve the performance of beamformers with small sample size. Base on the character that the Forward-backward smoothing matrix is an generalized symmetrical conjugate matrix, The paper...
Based on the real-value characteristic of the non-circular sources, a new virtual array (VA) beamforming method is proposed. The method first extends the original array utilizing the conjugate data of the receiving signals and then applies the extended VA to adaptive beamforming. By analyzing its performance some drawbacks are found in the covariance matrix and the beam pattern, so the corresponding...
The eigenspace-based (ESB) beamformer demonstrates much more robust capabilities than the minimum variance distortionless (MVDR) beamformer. However, when the pointing error falls in some certain positions near the mainlobe edge or the integer times of half of the mainlobe width, its performance will suffer from severely degradation. To avoid the certain positions, the paper proposed a modified algorithm...
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