Soft-decision metrics for coded orthogonal signaling in symmetric alpha-stable noise
2005 (English)In: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05), 2005, III-697-III-700 p.Conference paper (Refereed)
This paper derives new soft decision metrics for coded orthogonal signaling in symmetric α-stable noise, which has been used to model impulsive noise. In addition to the optimum metrics for Gaussian (α=2) noise and Cauchy (α=1) noise, a class of generalized likelihood ratio (GLR) metrics with lower side information requirements is derived. Through numerical results for a turbo code example, the Cauchy decoder is found to be robust for a wide range of α, and GLR metrics are found which provide performance gains relative to the Gaussian metric, but with lower complexity and less a priori information.
Place, publisher, year, edition, pages
2005. III-697-III-700 p.
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-77257DOI: 10.1109/ICASSP.2005.1415805ISBN: 0-7803-8874-7OAI: oai:DiVA.org:liu-77257DiVA: diva2:525928
2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, Pennsylvania, USA, March 18-23, 2005