Linear Conjugate Multiuser Detection Based on the MOE Criterion

Meng  Yan; Wang  Jin-Kuan; Zhu  Jun; Jie Zhi-Bin

doi:10.3724/SP.J.1146.2007.00822

Volume 30 Issue 12

Jan. 2011

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2008 > 30(12): 2976-2979

Meng Yan, Wang Jin-Kuan, Zhu Jun, Jie Zhi-Bin. Linear Conjugate Multiuser Detection Based on the MOE Criterion[J]. Journal of Electronics & Information Technology, 2008, 30(12): 2976-2979. doi: 10.3724/SP.J.1146.2007.00822

Citation:

Meng Yan, Wang Jin-Kuan, Zhu Jun, Jie Zhi-Bin. Linear Conjugate Multiuser Detection Based on the MOE Criterion[J]. Journal of Electronics & Information Technology, 2008, 30(12): 2976-2979. doi: 10.3724/SP.J.1146.2007.00822

Citation:

PDF( 240 KB)

Linear Conjugate Multiuser Detection Based on the MOE Criterion

doi: 10.3724/SP.J.1146.2007.00822

Received Date: 2007-05-28
Rev Recd Date: 2007-09-12
Publish Date: 2008-12-19

Abstract

Abstract

A Minimum Output Energy (MOE) noise suppression linear conjugate multiuser detection algorithm based on Recursive Least-Squares (RLS) is proposed for MC-CDMA system. The proposed algorithm defines a new cost function based on the MOE criterion and uses the noise subspace to impose multiple constraints on the new defined MOE cost function. A noise suppression linear conjugate detector is designed by using the new defined cost function and the new constraints condition, and the RLS algorithm is used to obtain the weight vector adaptively. It makes orthogonal processing between the weight vector and the noise subspace to mitigate the noise in the weight vector, and exploits the information contained in the pseudoautocorrelation of the observables. Therefore the performance of the system is improved. Simulation results demonstrate the effectiveness and superiority of the proposed algorithm.
- M,
- C,
- -,
- C

FullText(HTML)

References(1)

References

[1] Hara S and Prasad R. Overview of multicarrier CDMA.IEEE Communications Magazine, 1997, 35(12): 126-133. [2] Wang X D and Poor H V. Blind multiuser detection: Asubspace approach[J].IEEE Trans. on Information Theory.1998, 44(2):677-690 [3] ROY S. Subspace blind adaptive detection for multiuserCDMA[J].IEEE Trans. on Communications.2000, 48(1):169-175 [4] Zhang X D and Wei W. Blind adaptive multiuser detectionbased on Kalman filtering[J].IEEE Trans. on Signal Processing.2002, 50(1):87-95 [5] Honig M, Madhow U, and Verdu S. Blind adaptive multiuserdetection[J].IEEE Trans. on Information Theory.1995, 41(4):944-960 [6] Wang X D and Poor H V. Code-aided interferencesuppression for DS/CDMA communications- part II: parallelblind adaptive implementations [J].IEEE Trans. onCommunications.1997, 45(9):1112-1122 [7] Buzzi S, Lops M, and Tulino A M. A new family of MMSEmultiuser receivers for interference suppression inDS/CDMA systems employing BPSK modulation. IEEETrans. on Communications, 2001, 49(1): 154-167. [8] Buzzi S and Lops M. Performance analysis for the improvedlinear multiuser detectors in BPSK-modulated DS-CDMAsystems[J].IEEE Trans. on Communications.2003, 51(1):37-42 [9] Lops M and Tulino A M. Linear and Linear-Conjugate/Linear (LC/L) receivers for CDMA systems in fadingchannels. IEEE International Symposium on SpreadSpectrum Techniques and Applications, Parsippany, 2000, 1:35-39. [10] Yoon Y and Kim H M. An efficient blind multiuser detectionfor improper DS/CDMA signals. IEEE Trans. on VehicularTechnology, 2006, 55(2): 572-582. [11] Hua W and Hanzo L. Semi-blind and group-blind multiuserdetection for the MC-CDMA uplink. IEEE VehicularTechnology Conference, Milan, 2004, 3: 1727-1731. [12] Yoon Y and Leib H. Maximizing SNR in improper complexnoise and applications to CDMA. IEEE CommunicationsLetters, 1997, 1(1): 5-8. [13] Caamano A J, Segovia-Vargas D, and Ramos J. BlindAdaptive Krylov Subspace Multiuser Detection. IEEEVehicular Technology Conference, Atlantic City, 2001, 4:2338-2341.

Relative Articles

Supplements(0)

Cited By

Proportional views