Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Robust Multiuser Detection Based on Least p-Norm State Space Filtering Model

  • Zha, Daifeng (College of Electronic Engineering, Jiujiang University)
  • Published : 2007.06.30
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Abstract

Alpha stable distribution is better for modeling impulsive noises than Gaussian distribution in signal processing. This class of process has no closed form of probability density function and finite second order moments. In general, Wiener filter theory is not meaningful in S$\alpha$SG environments because the expectations may be unbounded. We proposed a new adaptive recursive least p-norm Kalman filtering algorithm based on least p-norm of innovation process with infinite variances, and a new robust multiuser detection method based on least p-norm Kalman filtering. The simulation experiments show that the proposed new algorithm is more robust than the conventional Kalman filtering multiuser detection algorithm.

Keywords

References

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