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Robust Multiuser Detection Method Based on Least p-Norm State Space Criterion

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Abstract

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 α 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.

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Authors and Affiliations

  1. College of Electronic Engineering, Jiujiang University, Jiujiang, China, 332005

    Daifeng Zha

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  1. Daifeng Zha
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Correspondence to Daifeng Zha.

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Daifeng Zha was born in 1971 and received the B.S. degree in electrical engineering from Dalian University of Technology, Dalian, China, in 1995. He was a research engineer at ChineseHelicopter Research and Development Institute, Jingdezhen, China, from 1995 through 2000. He received the Ph.D degree in Dalian University of Technology in 2005. He is currently an associate professor in College of Electronic Engineering from Jiujiang University. His research interests include non-gaussian signal processing, array signal processing, underwater signal processing.

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Zha, D. Robust Multiuser Detection Method Based on Least p-Norm State Space Criterion. Wireless Pers Commun 40, 191–204 (2007). https://doi.org/10.1007/s11277-006-9109-7

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