Adaptive Subcarrier Grouping for MMSE-SMI Adaptive Array Interference Suppression

IEEE Access

卷:9

Kazuki Maruta¹  Chang-Jun Ahn²  Shun Kojima²  Koki Ito²  Kosuke Shima² 

[1] Academy for Super Smart Society, Tokyo Institute of Technology, Tokyo, Japan;

[2] Graduate School of Engineering, Chiba University, Chiba, Japan;

关键词: Adaptive array;    interference suppression;    channel estimation;    sample matrix inversion;    subcarrier grouping;    Rician fading;   

DOI  :  10.1109/ACCESS.2021.3053989

来源: DOAJ

【 摘 要 】

Inter-user interference (IUI) suppression is a prime matter for mobile communication systems. Channel state information (CSI), meanwhile, is severely affected by the receiver additive noise effect. Sample matrix inversion (SMI) based minimum mean square error (MMSE) adaptive array is a powerful means to suppress noise enhancement with the aid of data symbols. However, its effectiveness is limited under an insufficient number of symbols available. Based on the multi-carrier transmission system, this paper proposes an adaptive subcarrier grouping to expand the number of received symbols for a covariance matrix calculation. The grouping size is adaptively adjusted by observing the dispersion of adjacent subcarriers. Simulative results reveal the effectiveness of the proposed adaptive algorithm; superior bit error rate (BER) performance can be attained under various Rician K factors.

【 授权许可】

Unknown