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Bayesian-based iterative blind joint data detection, code delay and channel estimation for DS-CDMA systems in multipath environments

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Item type:Araştırmacı/Yazar,
Çırpan, Hakan Ali
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IEEE

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This work proposes a novel iterative blind receiver to jointly estimate channel parameters and transmitted data sequence on the multipath fading channel in Direct Sequence Code Division Multiple Access (DS CDMA) systems. Since time delay of the transmission channel represents nonlinear characteristic, joint estimation of these parameters and data sequence is difficult for multipath fading channels. To derive of the proposed iterative method we used completely Bayesian approach and then, Sequential Monte Carlo (SMC) technique is adapted to proposed method.

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2011 7th International Wireless Communications and Mobile Computing Conference

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channel coefficient estimationmethodology, importance sampling, Ds cdma, sequential Monte Carlo methodology, channel coefficient estimation, sequential Monte Carlo, code delay, joint symbol

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