An adaptive least squares channel estimation based on conjugate gradient approach for multipath fading CDMA systems

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Computers & Electrical Engineering, Elsevier

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Abstract

Multiple access interference (MAI) is the main factor affecting the performance of channel estimation techniques for code division multiple access (CDMA) systems. Although, several multi-user channel estimation algorithms have been proposed to mitigate MAI, these algorithms require high computational complexities. In this paper, we address the problem of iterative least squares (LS) mobile channel estimation at high channel efficiency that requires a short training sequence along with the spreading sequences. We employ an efficient iterative method based on conjugate gradient (CG) algorithm to reduce the computational complexity of the estimation method. Computer simulations illustrate that the proposed method performs almost identical to the exact LS estimate for reasonable training lengths.

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Du to copyright restirctions,the access to teh publisher version (publishe version)of this article is only available via subscription. You may clik URI (with DOI:10.1016/j.compeleceng.2011.07.003)and have access to the Publisher Version of this article through the publisher web site or online databases, if your Library or institution has subscription to the related journal or publication.
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multiple access interference, channel estimation techniques, mobile channel estimation, power updates in wireless CDMA systems

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Ahmet Rızaner, Ali Hakan Ulusoy, Hasan Amca, Kadri Hacıoğlu (2011) "An adaptive least squares channel estimation based on conjugate gradient approach for multipath fading CDMA systems" Computers & Electrical Engineering Volume 37, Issue 6, Pages 1082–1089 .

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