Signal processing with alpha-stable distributions and applications
Signal processing with alpha-stable distributions and applications
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Multiuser Detection
Robust techniques for wireless communications in non-gaussian environments
Robust techniques for wireless communications in non-gaussian environments
IEEE Transactions on Information Theory
Robust adaptive spread-spectrum receiver with neural net preprocessing in non-Gaussian noise
IEEE Transactions on Neural Networks
Robust CDMA multiuser detection using a neural-network approach
IEEE Transactions on Neural Networks
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Alpha stable distribution is better for modeling impulsive noises than Gaussian distribution in wireless communication system. This class of process has no close form of probability density function and finite second order moments. In general, Wiener filter theory is not meaningful in 驴 SG environments because the expectations may be unbounded. We proposed a new adaptive recursive least p-norm State space multiuser detection algorithm based on least p-norm of innovation process with infinite variances. The simulation experiments show that the proposed new algorithm is more robust than the conventional state space multiuser detection algorithm.