@inproceedings{d85e28cf5a48485d98f38119f95e65a2,
title = "Robust Aligned Widely Linear Beamforming",
abstract = "The problem of wideband beamforming for the extraction of a wideband Signal-of-Interest (SOI) contaminated by independent wideband interferences and sensor noise is addressed in the paper. With the exploitation of the non-circularity of wideband SOI/interferences, the aligned widely linear beamformers (AWLBs) in theory are potentially more attractive than the conventional linear wideband beamformers in protecting a rectilinear or almost rectilinear SOI while suppressing rectilinear or non-rectilinear interferences. However, the presence of even a minor look direction error would severely degrade the performance of AWLBs. Two robust AWLBs are proposed in the paper, with and without preliminary SOI non-circularity parameter estimation. The aligned and augmented interference-noise covariance matrix required in the implementation of the proposed beamformers is estimated by using a newly developed sub-band association scheme under finite data samples. Simulation results show that the presented beamformers are robust against the look direction error in SOI estimation and interference-noise suppression.",
keywords = "adaptive array, binary phase shift keying, non-circular, rectilinear, wideband",
author = "Yougen Xu and Xiaorui Zhang and Zhiwen Liu",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th IEEE International Conference on Electronics Technology, ICET 2022 ; Conference date: 13-05-2022 Through 16-05-2022",
year = "2022",
doi = "10.1109/ICET55676.2022.9824295",
language = "English",
series = "2022 IEEE 5th International Conference on Electronics Technology, ICET 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "890--895",
booktitle = "2022 IEEE 5th International Conference on Electronics Technology, ICET 2022",
address = "United States",
}