Semi‐blind MIMO‐OFDM channel estimation using expectation maximisation like techniques
| Autor: | Adel Belouchrani, Abdelhamid Ladaycia, Karim Abed-Meraim, Anissa Mokraoui |
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| Rok vydání: | 2019 |
| Předmět: |
Computational complexity theory
Orthogonal frequency-division multiplexing Computer science Maximum likelihood 020302 automobile design & engineering 020206 networking & telecommunications Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology MIMO-OFDM Multiplexing Computer Science Applications 0203 mechanical engineering Single antenna interference cancellation Expectation–maximization algorithm 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Algorithm Cramér–Rao bound Computer Science::Information Theory Communication channel |
| Zdroj: | IET Communications. 13:3452-3462 |
| ISSN: | 1751-8636 |
| DOI: | 10.1049/iet-com.2019.0583 |
| Popis: | This study deals with semi-blind (SB) channel estimation of multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) system using maximum likelihood (ML) technique. For the ML cost optimisation function, new expectation maximisation (EM) algorithms for the channel taps estimation are introduced. Different approximation/simplification approaches are proposed for the algorithm's computational cost reduction. The first approach consists of decomposing the MIMO-OFDM system into parallel multiple-input single-output OFDM systems. The EM algorithm is then applied to estimate the MIMO channel in a parallel way. The second approach takes advantage of the SB context to reduce the EM cost from exponential to linear complexity by reducing the size of the search space. Finally, the last proposed approach uses a parallel interference cancellation technique to decompose the MIMO-OFDM system into several single-input multiple-output OFDM systems. The latter are identified in a parallel scheme and with a reduced complexity. The performance of the proposed approaches are discussed, assessed through numerical experiments and compared with respect to the Cramer Rao Bound and to other EM-based solutions reported in the literature. |
| Databáze: | OpenAIRE |
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