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Semiblind joint channel estimation and equalization for OFDM systems in rapidly varying channels

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Semiblind joint channel estimation and equalization for OFDM systems in rapidly varying channels.pdf (227.6Kb)
Date
2010
Author
Şenol, Habib
Panayirci, Erdal
Poor, H. Vincent
Oǧuz, Onur
Vandendorpe, Luc
Abstract
We describe a new joint iterative channel estimation and equalization algorithm for joint channel estimation and data detection for orthogonal frequency division multiplexing (OFDM) systems in the presence of frequency selective and rapidly timevarying channels. The algorithm is based on the expectation maximization-maximum a posteriori (EM-MAP) technique which is very suitable for the multicarrier signal formats. The algorithm leads to a receiver structure that yields the equalized output using the channel estimates. The pilot symbols are employed to estimate the initial channel coefficients effectively and unknown data symbols are averaged out in the algorithm. The band-limited discrete cosine serial expansion of low dimensionality is employed to represent the time-varying fading channel. In this way the resulting reduced dimensional channel coefficients are estimated iteratively with tractable complexity. The extensive computer simulations show that the algorithm has excellent symbol error rate (SER) and mean square error (MSE) performances for very high mobility even during the initialization step. Copyright © Þenol et. al.

Source

2010 Future Network and Mobile Summit

URI

https://hdl.handle.net/20.500.12469/1559
https://ieeexplore.ieee.org/document/5722402

Collections

  • Araştırma Çıktıları / Scopus [1319]
  • Bilgisayar Mühendisliği / Computer Engineering [183]
  • Elektrik-Elektronik Mühendisliği / Electrical - Electronics Engineering [330]

Keywords

Channel equalization
Channel estimation
EM algorithm
OFDM systems
Time-varying channel

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