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.
Proceedings Title: Proceedings of the 2005 IEEE International Conference on Acoustics; Speech; and Signal Processing (ICASSP)
Conference Dates: March 18-23, 2005
Conference Location: March 18-23,
Conference Title: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Pub Type: Conferences
generalized likelihood ratio, impulsive noise, non-coherent detection, soft-decision metrics, stable distribution