DocumentCode
2958891
Title
A subspace approach for blind multiuser detection based on second-order nonstationarity
Author
Zhang, Ruifeng ; Tsatsanis, Michail K.
Author_Institution
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
Volume
2
fYear
2000
fDate
Oct. 29 2000-Nov. 1 2000
Firstpage
1153
Abstract
This paper presents a novel technique for blindly starting up an MMSE receiver for a user newly entering a CDMA system. It is assumed that only one user at a time is admitted into the system and that data before and after the onset of the new transmission are available. In general, the two corresponding autocorrelation matrices (before and after the new user is admitted) differ by a low-rank matrix contributed by the autocorrelation of the new user signal. This fact yields a useful property, that the generalized eigenvectors corresponding to the minimum eigenvalue span the noise subspace of the low-rank signal term. Exploiting this subspace relation, the signature of the new user can be identified and thus an MMSE receiver for it can be constructed.
Keywords
code division multiple access; correlation methods; eigenvalues and eigenfunctions; least mean squares methods; matrix decomposition; multipath channels; multiuser channels; noise; radio receivers; signal detection; CDMA system; autocorrelation matrices; blind multiuser detection; generalized eigen-decomposition; generalized eigenvectors; linear MMSE receiver; low-rank matrix; low-rank signal; minimum eigenvalue; multipath effects; new user signature; noise subspace; second-order nonstationarity; subspace approach; Autocorrelation; Computer errors; Constraint optimization; Dispersion; Ear; Eigenvalues and eigenfunctions; Floors; Multiaccess communication; Multiuser detection; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-6514-3
Type
conf
DOI
10.1109/ACSSC.2000.910695
Filename
910695
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