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|Author(s):||Michael R. Souryal; E G. Larsson; B M. Peric; B R. Vojcic;|
|Title:||Soft-Decision Metrics for Coded Orthogonal Signaling in Symmetric Alpha-Stable Noise|
|Published:||March 01, 2005|
|Abstract:||This paper derives new soft decision metrics for coded orthogonal signaling in symmetric a-stable noise, which has been used to model impulsive noise. In addition to the optimum metrics for Gaussian (a = 2) noise and Cauchy (a = 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 a, and GLR metrics are found which provide performance gains relative to the Gaussian metric, but with lower complexity and less a priori information.|
|Conference:||IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)|
|Proceedings:||Proceedings of the 2005 IEEE International Conference on Acoustics; Speech; and Signal Processing (ICASSP)|
|Pages:||pp. 697 - 700|
|Dates:||March 18-23, 2005|
|Keywords:||generalized likelihood ratio,impulsive noise,non-coherent detection,soft-decision metrics,stable distribution|
|Research Areas:||Wireless, Statistics|
|PDF version:||Click here to retrieve PDF version of paper (265KB)|