Data-aided Weight with Subcarrier Grouping for Adaptive Array Interference Suppression

Data-aided Weight with Subcarrier Grouping for Adaptive Array Interference Suppression

The effect of additive noise on the channel state information (CSI) quality is a crucial issue in mobile communication systems. The adaptive subcarrier grouping (ASG) for sample matrix inversion (SMI) based minimum mean square error (MMSE) adaptive array has been previously proposed. However, this m...

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Bibliographic Details
Main Authors: He He, Jun-Han Wang, Shun Kojima, Kazuki Maruta, Chang-Jun Ahn
Format: Article
Language:English
Published: Croatian Communications and Information Society (CCIS) 2022-12-01
Series:Journal of Communications Software and Systems
Subjects:
noise effect
sample matrix inversion
subcarrier grouping
decision feedback
least mean square
Online Access:https://jcoms.fesb.unist.hr/10.24138/jcomss-2022-0109/

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