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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Simulation results of the proposed receivers demonstrate good performance.
📌 3 Key Takeaways
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Objective & Hypothesis:The problem of multichannel estimation for space-time coded transmissions over frequency-selective Rayleigh fading channels is addressed.
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Key Findings & Data:Under fast fading conditions, receivers employing Kalman filtering and moderate complexity equalization schemes are proposed for both space-time block codes (STBCs) and space-time trellis codes (STTCs).
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Conclusion & Impact:Simulation results of the proposed receivers demonstrate good performance.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
The problem of multichannel estimation for space-time coded transmissions over frequency-selective Rayleigh fading channels is addressed. Under fast fading conditions, receivers employing Kalman filtering and moderate complexity equalization schemes are proposed for both space-time block codes (STBCs) and space-time trellis codes (STTCs). Simulation results of the proposed receivers demonstrate good performance.
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Cite This Article
YILMAZ, R., TANÇ, A. K. (2022). Kalman filtering for space-time coded transmissions over frequency-selective Rayleigh fading channels. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 5 - Sayı: 1, 1295–1298. https://ajindex.com/articles/543845