
Research Article
Constellation Design for Blind Detection of Orthogonal Space-Time Block Codes in Wireless MIMO Systems
@ARTICLE{10.4108/eetinis.132.12472, author={Minh-Tuan Le and Trung-Hieu Nguyen}, title={Constellation Design for Blind Detection of Orthogonal Space-Time Block Codes in Wireless MIMO Systems}, journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems}, volume={13}, number={2}, publisher={EAI}, journal_a={INIS}, year={2026}, month={6}, keywords={Blind detection, ML detector, Least-Squares, MIMO Systems, Orthogonal Space-Time Block Code}, doi={10.4108/eetinis.132.12472} }- Minh-Tuan Le
Trung-Hieu Nguyen
Year: 2026
Constellation Design for Blind Detection of Orthogonal Space-Time Block Codes in Wireless MIMO Systems
INIS
EAI
DOI: 10.4108/eetinis.132.12472
Abstract
This paper investigates the problem of blind detection of orthogonal space–time block codes (OSTBCs) with quadrature amplitude modulation (QAM) in multiple-input multiple-output (MIMO) systems over quasistatic flat Rayleigh fading channels. To resolve the inherent rotational ambiguity in blind OSTBC detection, we propose a structurally constrained QAM constellation that enables unique symbol recovery without the use of pilot signals. Building on this design, we develop a low-complexity iterative detector, referred to as the iterative maximum-likelihood with averaged initial channel estimate (IML-AICE) detector, which jointly estimates the channel and transmitted symbols. The proposed detector incorporates a novel initialization strategy and an iterative refinement mechanism inspired by clairvoyant maximum-likelihood detection, leading to improved convergence and detection accuracy. The proposed framework enables reliable blind recovery of OSTBC symbols, thereby improving spectral efficiency by eliminating pilot overhead. Simulation results demonstrate that the proposed IML-AICE detector consistently outperforms existing trained and blind detection schemes across a range of signal-to-noise ratios and system configurations at low computational complexity.
Copyright © 2026 Minh-Tuan Le et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.


