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In this paper, we investigate the effects of channel estimation errors on the performance of turbo decoding over fully interleaved Rayleigh fading channels. It has been proven that the Max-Log-MAP decoder is independent of any channel parameter, no matter with perfect or imperfect channel estimates. Further, we propose a robust method for turbo decoding over Rayleigh fading channels by applying the...
In this paper, we propose a unified framework to examine the effect of SNR mismatch on the performance of turbo algorithms, such as turbo equalization and turbo decoding. The proposed framework is based on a general model for a biased estimate of the signal-to-noise ratio (SNR) of the channel. It is shown how the estimation model can unify previously SNR mismatch models, which become special cases...
In this paper, we investigate the signal-to-noise ratio (SNR) sensitivity of the Log-MAP turbo decoder over Rayleigh fading channels. It is shown that the use of the channel reliability factor proposed by Frenger is equivalent to an SNR underestimation when the channel estimate is not perfect. In addition, we propose s simplified method to compute the channel reliability factor, which leads to reduction...
This paper proposes two simplified methods for calculating the extrinsic information of turbo equalization using linear minimum mean squared error (MMSE) criterion. Under the assumption of linear correlation, the extrinsic information for each coded bit can be easily computed by using a simplified channel model. Simulation results show that proposed methods perform very closely to the conventional...
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