T. Faber, T. Scholand, and P. Jung (Germany)
Cauchy Distribution, Gaussian Mixture Distribution (GMD), Impulsive Noise, Iterative Processing, Log Likelihood Ratio (LLR), Maximum A-Posteriori (MAP), Rayleigh Fading, Turbo-Codes, UMTS
In the recent years, iterative (“turbo”) processing techniques with soft-in/soft-out components have received considerable attention. Examples are turbo decoding, turbo equalization, and turbo multi-user detection. The authors shall consider the application of Turbo-Codes to environments with impulsive white noise. Impulsive noise has a non-Gaussian nature and is e.g. found in many wireless channels due to impulsive phenomena of radio-frequency interference and also in power line and in digital subscriber line communication systems. A detector/Turbo decoder concept, derived from turbo equalization, shall be presented. The illustrated concept avoids numerical instabilities. It shall be shown that Turbo-Codes facilitate considerable performance improvements over non-coded systems. Furthermore, for benchmarking reasons, the deployment of a conventional rate 1/2 convolutional code with constraint length 5 and octal generators 238,358 will be taken into account.
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