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Adaptive Zero-Padding with Impulsive Training Signal MMSE-SMI Adaptive Array Interference Suppression

He HE, Shun KOJIMA, Kazuki MARUTA, Chang-Jun AHN

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Summary :

In mobile communication systems, the channel state information (CSI) is severely affected by the noise effect of the receiver. The adaptive subcarrier grouping (ASG) for sample matrix inversion (SMI) based minimum mean square error (MMSE) adaptive array has been previously proposed. Although it can reduce the additive noise effect by increasing samples to derive the array weight for co-channel interference suppression, it needs to know the signal-to-noise ratio (SNR) in advance to set the threshold for subcarrier grouping. This paper newly proposes adaptive zero padding (AZP) in the time domain to improve the weight accuracy of the SMI matrix. This method does not need to estimate the SNR in advance, and even if the threshold is always constant, it can adaptively identify the position of zero-padding to eliminate the noise interference of the received signal. Simulation results reveal that the proposed method can achieve superior bit error rate (BER) performance under various Rician K factors.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E106-A No.4 pp.674-682
Publication Date
2023/04/01
Publicized
2022/09/30
Online ISSN
1745-1337
DOI
10.1587/transfun.2022EAP1070
Type of Manuscript
PAPER
Category
Communication Theory and Signals

Authors

He HE
  Chiba University
Shun KOJIMA
  Utsunomiya University
Kazuki MARUTA
  Tokyo University of Science
Chang-Jun AHN
  Chiba University

Keyword