Simple Detection Based on Soft-Limiting for Binary Transmission in a Mixture of Generalized Normal-Laplace Distributed Noise and Gaussian Noise

ETRI Journal

关键词: generalized normal-Laplace (GNL) distribution;    normal-Laplace distribution;    non-Gaussian noise;    Neyman-Pearson optimum receiver;    Log-likelihood ratio (LLR);   

Others  :  1186030
DOI  :  10.4218/etrij.11.0211.0026

【 摘 要 】

In this letter, a simplified suboptimum receiver based on soft-limiting for the detection of binary antipodal signals in non-Gaussian noise modeled as a generalized normal-Laplace (GNL) distribution combined with Gaussian noise is presented. The suboptimum receiver has low computational complexity. Furthermore, when the number of diversity branches is small, its performance is very close to that of the Neyman-Pearson optimum receiver based on the probability density function obtained by the Fourier inversion of the characteristic function of the GNL-plus-Gaussian distribution.

   

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