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.