NIST logo

Publication Citation: Soft-Decision Metrics for Coded Orthogonal Signaling in Symmetric Alpha-Stable Noise

NIST Authors in Bold

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)
Volume: 3
Pages: pp. 697 - 700
Location: March 18-23,
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: PDF Document Click here to retrieve PDF version of paper (265KB)