On the Semi-Blind Mutually Referenced Equalizers for MIMO Systems

Fuente: arXiv
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Autori principali: Son, Do Hai, Abed-Meraim, Karim, Duy, Tran Trong, Trung, Nguyen Linh, Quynh, Tran Thi Thuy
Natura: Preprint
Pubblicazione: 2023
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author Son, Do Hai
Abed-Meraim, Karim
Duy, Tran Trong
Trung, Nguyen Linh
Quynh, Tran Thi Thuy
author_facet Son, Do Hai
Abed-Meraim, Karim
Duy, Tran Trong
Trung, Nguyen Linh
Quynh, Tran Thi Thuy
contents Minimizing training overhead in channel estimation is a crucial challenge in wireless communication systems. This paper presents an extension of the traditional blind algorithm, called "Mutually referenced equalizers" (MRE), specifically designed for MIMO systems. Additionally, we propose a novel semi-blind method, SB-MRE, which combines the benefits of pilot-based and MRE approaches to achieve enhanced performance while utilizing a reduced number of pilot symbols. Moreover, the SB-MRE algorithm helps to minimize complexity and training overhead and to remove the ambiguities inherent to blind processing. The simulation results demonstrated that SB-MRE outperforms other linear algorithms, i.e., MMSE, ZF, and MRE, in terms of training overhead symbols and complexity, thereby offering a promising solution to address the challenge of minimizing training overhead in channel estimation for wireless communication systems.
format Preprint
id arxiv_https___arxiv_org_abs_2311_00325
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On the Semi-Blind Mutually Referenced Equalizers for MIMO Systems
Son, Do Hai
Abed-Meraim, Karim
Duy, Tran Trong
Trung, Nguyen Linh
Quynh, Tran Thi Thuy
Signal Processing
Minimizing training overhead in channel estimation is a crucial challenge in wireless communication systems. This paper presents an extension of the traditional blind algorithm, called "Mutually referenced equalizers" (MRE), specifically designed for MIMO systems. Additionally, we propose a novel semi-blind method, SB-MRE, which combines the benefits of pilot-based and MRE approaches to achieve enhanced performance while utilizing a reduced number of pilot symbols. Moreover, the SB-MRE algorithm helps to minimize complexity and training overhead and to remove the ambiguities inherent to blind processing. The simulation results demonstrated that SB-MRE outperforms other linear algorithms, i.e., MMSE, ZF, and MRE, in terms of training overhead symbols and complexity, thereby offering a promising solution to address the challenge of minimizing training overhead in channel estimation for wireless communication systems.
title On the Semi-Blind Mutually Referenced Equalizers for MIMO Systems
topic Signal Processing
url https://arxiv.org/abs/2311.00325