Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2005 / Cilt: 5 - Sayı: 1

Kalman filtering for space-time coded transmissions over frequency-selective Rayleigh fading channels

Pages
1295–1298
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

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

🎯
Objective & Hypothesis:The problem of multichannel estimation for space-time coded transmissions over frequency-selective Rayleigh fading channels is addressed.
📊
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).
💡
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.

🔖

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

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (8)

  1. Lindbom, L., “Simplified Kalman estimation of fading mobile radio channels: high performance at LMS computational loads”, IEEE International Conference on Acoustics, Speech and Signal Processing, Vol. 3, pp. 352-355, 1993
  2. Liu, Z., Ma, X., Giannakis, G.B., “Space-time coding and Kalman filtering for time-selective fading channels”, IEEE Transactions on Communications, Vol. 50, No. 2, pp. 183-186, 2002
  3. Cozzo, C., Hughes, B.L., “An adaptive receiver for space-time trellis codes based on per-survivor processing”, IEEE Transactions on Communications, Vol. 50, No. 8, pp. 1213-1216, 2002
  4. Gerstacker, W.H., Obernosterer, F., Schober, R., Lehmann, A.T., Lampe, A., Gunreben, P., “Equalization concepts for Alamouti’s spacetime block code”, IEEE Transactions on Communications, Vol. 52, No. 7, pp. 1178-1190, 2004
  5. Al-Dhahir, N., Sayed, A.H., “The finite-length multi-input multi-output MMSE-DFE”, IEEE Transactions on Signal Processing, Vol. 48, No. 10, pp. 2921-2936, 2000
  6. Alamouti, S.M., “A simple transmit diversity technique for wireless communications”, IEEE Journal on Select Areas in Communications, Vol. 16, No. 8, pp. 1451-1458, 1998
  7. Al-Dhahir, N., “Overview and comparison of equalization schemes for space-time-coded signals with application to EDGE”, IEEE Transactions on Signal Processing, Vol. 50, No. 10, pp. 2477-2488, 2002
  8. Firmanto, W., Vucetic, B.S., Yuan, J., “Spacetime TCM with improved performance on fast fading channels”, IEEE Communications Letters, Vol. 5, No. 4, pp. 154-156, 2001.