| 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: |
 Click here to retrieve PDF version of paper (259KB) |
