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EM-based Semi-blind Channel Estimation in AF Two-Way Relay Networks

2013/04/24 by Saeed Abdallah, Abdallah, Saeed, Ioannis Psaromiligkos +2
Computer Science · Engineering · Mathematics · #Cooperative Communication and Network Coding #Error Correcting Code Techniques #FOS: Computer and information sciences #Full-Duplex Wireless Communications #Information Theory (cs.IT) #Other Statistics (stat.OT) #cs.IT #math.IT #stat.OT

paper · pdf · doi:10.48550/arxiv.1304.6617

3 pages, 2 figures

arxiv created 2013/04/24 · openalex publication_date 2013/04/24 · arxiv updated 2013/04/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We propose an expectation maximization (EM)-based algorithm for semi-blind channel estimation of reciprocal channels in amplify-and-forward (AF) two-way relay networks (TWRNs). By incorporating both data samples and pilots into the estimation, the proposed algorithm provides substantially higher accuracy than the conventional training-based approach. Furthermore, the proposed algorithm has a linear computational complexity per iteration and converges after a small number of iterations.

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