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Nondata-aided joint channel estimation and equalization for OFDM systems in very rapidly varying mobile channels

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Nondata-aided joint channel estimation and equalization for OFDM systems in very rapidly varying mobile channels.pdf (4.309Mb)
Date
2012
Author
Şenol, Habib
Panayirci, Erdal
Poor, H. Vincent
Abstract
This paper is concerned with the challenging and timely problem of joint channel estimation and equalization for orthogonal frequency division multiplexing (OFDM) systems in the presence of frequency selective and very rapidly time varying channels. The resulting algorithm is based on the space alternating generalized expectation maximization-maximum a posteriori probability (SAGE-MAP) technique which is particularly well suited to multicarrier signal formats. The algorithm is implemented in the time-domain which enables one to use the Gaussian approximation of the transmitted OFDM samples. Consequently the averaging process of the nonpilot data symbols becomes analytically possible resulting in a feasible and computationally efficient channel estimation algorithm leading to a receiver structure that yields also an equalized output from which the data symbols are detected with excellent symbol error rate (SER) performance. Based on this Gaussian approximation the exact Bayesian Cramer Rao lower bound (CRLB) as well as the convergence rate of the algorithm are derived analytically. To reduce the computational complexity of the algorithm discrete Legendre orthogonal basis functions are employed to represent the rapidly time-varying fading channel. It is shown that depending on the normalized Doppler frequency only a small number of expansion coefficients is sufficient to approximate the channel very well and there is no need to know the correlation function of the input signal. The computational complexity of the algorithm is shown to be similar to O(NL) per detected data symbol and per SAGE-MAP algorithm cycle where N is the number of OFDM subcarriers and L is the number of multipath components.

Source

IEEE Transactions on Signal Processing

Issue

8

Volume

60

Pages

4236-4253

URI

https://hdl.handle.net/20.500.12469/879
https://doi.org/10.1109/TSP.2012.2195657

Collections

  • Araştırma Çıktıları / Scopus [1482]
  • Araştırma Çıktıları / WOS [1412]
  • Bilgisayar Mühendisliği / Computer Engineering [177]
  • Elektrik-Elektronik Mühendisliği / Electrical - Electronics Engineering [319]

Keywords

Basis expansion model (BEM)
Joint channel estimation and equalization
Orthogonal Frequency-Division Multiplexing (OFDM)
Rapidly varying wireless channels
SAGE-MAP algorithm

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DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV