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A Novel Method for Adaptive Beamforming under the Strong Interference Condition

Zongli RUAN, Hongshu LIAO, Guobing QIAN

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Summary :

In this letter, firstly, a novel adaptive beamformer using independent component analysis (ICA) algorithm is proposed. By this algorithm, the ambiguity of amplitude and phase resulted from blind source separation is removed utilizing the special structure of array manifolds matrix. However, there might exist great calibration error when the powers of interferences are far larger than that of desired signal at many applications such as sonar, radio astronomy, biomedical engineering and earthquake detection. As a result, this will lead to a significant reduction in separation performance. Then, a new method based on the combination of ICA and primary component analysis (PCA) is proposed to recover the desired signal's amplitude under strong interference. Finally, computer simulation is carried out to indicate the effectiveness of our methods. The simulation results show that the proposed methods can obtain higher SNR and more accurate power estimation of desired signal than diagonal loading sample matrix inversion (LSMI) and worst-case performance optimization (WCPO) method.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E105-A No.2 pp.109-113
Publication Date
2022/02/01
Publicized
2021/08/02
Online ISSN
1745-1337
DOI
10.1587/transfun.2021EAL2045
Type of Manuscript
LETTER
Category
Digital Signal Processing

Authors

Zongli RUAN
  China University of Petroleum
Hongshu LIAO
  University of Electronics Science and Technology of China
Guobing QIAN
  Southwest University

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