Open AccessRobust adaptive beamforming using IAA‐based interference‐plus‐noise covariance matrix reconstruction
Author(s) -
Wang Yasen,
Bao Qinglong,
Chen Zengping
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.4420
Subject(s) - adaptive beamformer , covariance matrix , algorithm , interference (communication) , beamforming , noise (video) , signal reconstruction , computer science , signal (programming language) , matrix (chemical analysis) , mathematics , signal processing , artificial intelligence , telecommunications , image (mathematics) , radar , channel (broadcasting) , materials science , composite material , programming language
A novel robust adaptive beamforming algorithm based on a reconstructed covariance matrix is proposed to combat the desired signal look direction error. First, the iterative adaptive approach (IAA) algorithm is performed to acquire the true signal direction and the spatial spectrum simultaneously. Secondly, the IAA spatial spectrum is used to reconstruct the interference‐plus‐noise covariance matrix. Compared with other reconstruction‐based algorithms, this approach is capable of dealing with coherent interferences without any optimisation procedures.