Space-time blind equalization under α-stable noise environment

Authors:
Li Sen
Affiliations:
College of Information Science Technology, Dalian Maritime University, Dalian, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 7
Cited 0

Signal processing with alpha-stable distributions and applications

Signal processing with alpha-stable distributions and applications
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Adaptive blind source separation and equalization for multiple-input/multiple-output systems

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Abstract

The presence of non-Gaussian impulsive noise in wireless system can degrade the performance of existing equalizers and signal detectors. In this paper, the problem of blind source separation and equalization for Multiple Input/Multiple Output systems in heavy-tailed impulsive noise is studied. A generalized multi-user constant modulus cost function by employing the fractional lower-order constant modulus property of the equalizer input signals as well as the fractional lower-order cross-correlations between them is proposed. The associated adaptive blind equalization algorithm based on a stochastic gradient descent method is defined as fractional lowerorder multi-user constant modulus algorithm (FLOS_MU_CMA). Computer simulations are presented to illustrate the performance of the new algorithm.