Joint Channel and Symbol Estimation for Communication Systems with Movable Antennas

Fuente: arXiv
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Autori principali: de Araújo, Josué V., Filho, Jose Carlos da Silva, de Araújo, Gilderlan T., Gomes, Paulo R. B., de Almeida, André L. F.
Natura: Preprint
Pubblicazione: 2025
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author de Araújo, Josué V.
Filho, Jose Carlos da Silva
de Araújo, Gilderlan T.
Gomes, Paulo R. B.
de Almeida, André L. F.
author_facet de Araújo, Josué V.
Filho, Jose Carlos da Silva
de Araújo, Gilderlan T.
Gomes, Paulo R. B.
de Almeida, André L. F.
contents Communication systems aided by movable antennas have been the subject of recent research due to their potentially increased spatial degrees of freedom offered by optimizing the antenna positioning at the transmitter and/or receiver. In this context, a topic that deserves attention is channel estimation. Conventional methods reported recently rely on pilot-assisted strategies to estimate the channel coefficients. In this work, we address the joint channel and symbol estimation problem for an uplink multi-user communication system, where the base station is equipped with a movable antenna array. A semi-blind receiver based on the PARAFAC2 model is formulated to exploit the tensor decomposition structure for the received signals, from which channel and symbol estimates can be jointly obtained via an alternating estimation algorithm. Compared with reference schemes, our preliminary numerical simulations yield remarkable results for the proposed method.
format Preprint
id arxiv_https___arxiv_org_abs_2506_07183
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Joint Channel and Symbol Estimation for Communication Systems with Movable Antennas
de Araújo, Josué V.
Filho, Jose Carlos da Silva
de Araújo, Gilderlan T.
Gomes, Paulo R. B.
de Almeida, André L. F.
Signal Processing
Communication systems aided by movable antennas have been the subject of recent research due to their potentially increased spatial degrees of freedom offered by optimizing the antenna positioning at the transmitter and/or receiver. In this context, a topic that deserves attention is channel estimation. Conventional methods reported recently rely on pilot-assisted strategies to estimate the channel coefficients. In this work, we address the joint channel and symbol estimation problem for an uplink multi-user communication system, where the base station is equipped with a movable antenna array. A semi-blind receiver based on the PARAFAC2 model is formulated to exploit the tensor decomposition structure for the received signals, from which channel and symbol estimates can be jointly obtained via an alternating estimation algorithm. Compared with reference schemes, our preliminary numerical simulations yield remarkable results for the proposed method.
title Joint Channel and Symbol Estimation for Communication Systems with Movable Antennas
topic Signal Processing
url https://arxiv.org/abs/2506.07183