Channel Estimation for Multicarrier Systems with Tightly-Coupled Broadband Arrays
Bamelak Tadele, Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani

TL;DR
This paper introduces a physically consistent LMMSE channel estimator for multicarrier MIMO systems that accounts for mutual coupling in antenna arrays, significantly improving estimation accuracy and system performance.
Contribution
It develops a novel scattering-based model for mutual coupling in antenna arrays and a new LMMSE estimator that leverages this model for enhanced channel estimation.
Findings
Mutual coupling effects are crucial for accurate channel modeling.
The new estimator outperforms standard methods in accuracy and rate.
Performance gains are demonstrated in a rich-scattering environment.
Abstract
This paper develops a linear minimum mean-square error (LMMSE) channel estimator for single and multicarrier systems that takes advantage of the mutual coupling in antenna arrays. We model the mutual coupling through multiport networks and express the single-user multiple-input multiple-output (MIMO) communication channel in terms of the impedance and scattering parameters of the antenna arrays. We put forward a novel scattering description of the communication channel which requires only the scattering parameters of the arrays as well as the terminated far-field embedded antenna patterns. In multi-antenna single-carrier systems under frequency-flat channels, we show that neglecting the mutual coupling effects leads to inaccurate characterization of the channel and noise correlations. We also extend the analysis to frequency-selective multicarrier channels wherein we further demonstrate…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Power Amplifier Design · Advanced Wireless Communication Techniques
