DocumentCode
3487246
Title
ICA detection for MC-CDMA systems
Author
Chih-Wei Jen
Author_Institution
Dept. of Electr. Eng., R.O.C. Mil. Acad., Kaohsiung, Taiwan
fYear
2012
fDate
4-7 Nov. 2012
Firstpage
705
Lastpage
709
Abstract
The multicarrier code division multiple access (MC-CDMA) technique has received considerable attention due to its high data rate for future wireless communication systems. A common problem to multiuser MC-CDMA detectors under Rayleigh fading channels is that the performance is very sensitive to the signature waveform mismatch (SWM) induced by channel estimation distortion. Besides, the disturbance of colored noise could make the performance of the system worse. In this paper, the proposed multiuser detector which utilizes the modified independent component analysis (ICA) algorithm based on approximate negentropy maximization under the second-order cone programming (SOCP) constraint can provide robustness against small-to-medium SWM over colored noise environment for a synchronous MC-CDMA system.
Keywords
Rayleigh channels; channel estimation; code division multiple access; independent component analysis; multiuser detection; ICA detection; Rayleigh fading channels; SOCP constraint; approximate negentropy maximization; channel estimation distortion; colored noise disturbance; colored noise environment; modified ICA algorithm; modified independent component analysis; multicarrier code division multiple access technique; multiuser MC-CDMA detectors; second-order cone programming; signature waveform mismatch; small-to-medium SWM; synchronous MC-CDMA system; wireless communication systems; Colored noise; Detectors; Fading; Multicarrier code division multiple access; Robustness; Vectors; independent component analysis (ICA); negentropy; second-order cone programming (SOCP);
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Signal Processing and Communications Systems (ISPACS), 2012 International Symposium on
Conference_Location
New Taipei
Print_ISBN
978-1-4673-5083-9
Electronic_ISBN
978-1-4673-5081-5
Type
conf
DOI
10.1109/ISPACS.2012.6473582
Filename
6473582
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