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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The performance of the proposed algorithms is obtained in the frequency selective channels using Hiperlan/2 characteristics.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, we propose adaptive channel estimation methods based on LMS and RLS for orthogonal STBC-OFDM systems with three transmit antennas.
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Key Findings & Data:In this paper, we propose adaptive channel estimation methods based on LMS and RLS for orthogonal STBC-OFDM systems with three transmit antennas.
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Conclusion & Impact:The performance of the proposed algorithms is obtained in the frequency selective channels using Hiperlan/2 characteristics.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this paper, we propose adaptive channel estimation methods based on LMS and RLS for orthogonal STBC-OFDM systems with three transmit antennas. The performance of the proposed algorithms is obtained in the frequency selective channels using Hiperlan/2 characteristics.
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Cite This Article
YILMAZ, R., ÖZBEK, B. (2022). The adaptive channel estimation for STBC-OFDM systems. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 5 - Sayı: 1, 1333–1340. https://ajindex.com/articles/543839