Robust Adaptive Beamforming Using k-means Clustering: A Solution to High Complexity of the Reconstruction-Based Algorithm

Robust Adaptive Beamforming Using k-means Clustering: A Solution to High Complexity of the Reconstruction-Based Algorithm

Recently, a new robust adaptive beamforming (RAB) algorithm has been proposed to reconstruct the interference-plus-noise covariance matrix (IPNCM) based on narrowing the interference angular domain and using an annular uncertainty set (NIAD-AUS). The method is robust against unknown arbitrary-type m...

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Bibliographic Details
Main Authors: Z. H. Tan, W. M. Jia, W. Jin
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2018-06-01
Series:Radioengineering
Subjects:
Robust adaptive beamforming
k-means clustering
reconstruction-based algorithm
low complexity
Online Access:https://www.radioeng.cz/fulltexts/2018/18_02_0595_0601.pdf

Internet

https://www.radioeng.cz/fulltexts/2018/18_02_0595_0601.pdf

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