Research on FastICA Blind Multi-user Detection Based on Negentropy

Yang Jia-xuan; Jia Chuan-ying; Shi Guo-you; Feng Xi-wei

doi:10.3724/SP.J.1146.2008.01357

Volume 31 Issue 9

Dec. 2010

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Yang Jia-xuan, Jia Chuan-ying, Shi Guo-you, Feng Xi-wei. Research on FastICA Blind Multi-user Detection Based on Negentropy[J]. Journal of Electronics & Information Technology, 2009, 31(9): 2274-2277. doi: 10.3724/SP.J.1146.2008.01357

Citation:

Yang Jia-xuan, Jia Chuan-ying, Shi Guo-you, Feng Xi-wei. Research on FastICA Blind Multi-user Detection Based on Negentropy[J]. Journal of Electronics & Information Technology, 2009, 31(9): 2274-2277. doi: 10.3724/SP.J.1146.2008.01357

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Research on FastICA Blind Multi-user Detection Based on Negentropy

doi: 10.3724/SP.J.1146.2008.01357

Received Date: 2008-10-20
Rev Recd Date: 2009-04-02
Publish Date: 2009-09-19

Abstract

Abstract

A FastICA blind multi-user detection algorithm based on negentropy is proposed, which is based on independent component analysis combined with CDMA receiver in this paper. The non-quadratic function in FastICA algorithm is revised as function with power 4, therefore, based negentropy non-Gaussianity measurement can be transformed into kurtosis form, which could decrease the computational complexity. Meanwhile, by exploiting the independence of the source signals of different users and utilizing spreading codes of target user as training sequence and initialization of unmixing matrix, excellent symbol estimation performance are obtained through stochastic gradient method while the codes of the interfering users in downlink are unknown. Analysis for computational complexity of algorithm shows that computational complexity increases with length of receiving data and number of users. In this work, the ICA blind detection method is compared with traditional matched filter and well-known linear MMSE multi-user detector. Numerical simulations indicate that ICA based detection ability is comparable to MMSE detection performance when MAI is lower in synchronous CDMA channels. With the increase of MAI, the superior performance of ICA has significant improvement gains over exact-MMSE.

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References

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