Index Terms (2005)
BibTeX
@MISC{Guenach05indexterms,
author = {M. Guenach and F. Simoens and H. Wymeersch and M. Moeneclaey},
title = {Index Terms},
year = {2005}
}
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Abstract
This paper deals with joint data detection, synchronization and channel parameter estima-tion for Direct-Sequence Code Division Multiple Access (DS-CDMA) systems over frequency selective channels. In low-SNR environments, conventional data-aided estimation algorithms may require an unacceptably large number of pilot symbols in order to obtain sufficiently accurate estimates of the channel and synchronization parameters. Especially frequency offset estimation results in a significant loss in spectral efficiency. In this contribution, we consider several code-aided estimation schemes which can be incorporated in an iterative turbo detection scheme. We consider the Expectation Maximization (EM) algorithm as well as the Space Alternating Generalized Expectation Maximization (SAGE) algorithm as tools to develop code-aided estimation algorithms for a variety of scenarios. We pay special attention to the issue of computational complexity, and propose some complexity-reducing approximations. We show through computer simulations that the proposed code-aided estimation techniques considerably outperform their conventional data-aided counterparts. cessing
Keyphrases
index term pilot symbol unacceptably large number synchronization parameter estimation result iterative turbo detection scheme special attention significant loss frequency selective channel code-aided estimation technique low-snr environment computational complexity space alternating generalized expectation maximization complexity-reducing approximation computer simulation direct-sequence code division multiple access spectral efficiency joint data detection code-aided estimation algorithm several code-aided estimation scheme accurate estimate conventional data-aided counterpart expectation maximization conventional data-aided estimation algorithm channel parameter estima-tion
