Open AccessAdaptive beamforming based on theoretical interference‐plus‐noise covariance and direction‐of‐arrival estimation
Author(s) -
Mohammadzadeh Saeed,
Kukrer Osman
Publication year - 2018
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2017.0462
Subject(s) - adaptive beamformer , covariance matrix , beamforming , direction of arrival , algorithm , computer science , covariance , noise (video) , eigendecomposition of a matrix , control theory (sociology) , signal (programming language) , interference (communication) , distortion (music) , minimum variance unbiased estimator , eigenvalues and eigenvectors , mathematics , estimator , telecommunications , statistics , artificial intelligence , antenna (radio) , physics , channel (broadcasting) , image (mathematics) , amplifier , control (management) , bandwidth (computing) , quantum mechanics , programming language
A simple and effective adaptive beamforming technique is proposed for uniform linear arrays, which are based on projection processing for covariance matrix construction and desired‐signal steering vector estimation. The optimal minimum variance distortion‐less response beamformer is closely achieved through approximating the interference‐plus‐noise covariance matrix by utilising the eigenvalue decomposition of the received signal's covariance matrix. Moreover, the direction‐of‐arrival (DOA) of the desired signal is estimated by maximising the beamformer output power in a certain angular sector. In particular, the proposed beamformer utilises the aforementioned DOA in order to estimate the desired‐signal's steering vector for general steering vector mismatches. Simulation results indicate the better performance of the proposed method in the presence of the different errors compared with some of the recently introduced techniques.