DocumentCode
1501607
Title
Blind startup of MMSE receivers for CDMA systems
Author
Zhang, Ruifeng ; Tsatsanis, Michail K.
Author_Institution
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
Volume
49
Issue
7
fYear
2001
fDate
7/1/2001 12:00:00 AM
Firstpage
1492
Lastpage
1500
Abstract
This paper presents a novel technique for blindly starting up a minimum-mean-squared-error (MMSE) receiver for a user newly entering a code-division multiple-access (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. The technique is based on the generalized eigendecomposition of the two corresponding autocorrelation matrices (before and after the new user is admitted). In general, the two autocorrelation matrices differ by a low-rank matrix contributed by the autocorrelation of the new user signal. This fact yields the 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. If, in particular, the difference between the two autocorrelation matrices is exactly a rank-one matrix, then there is only one maximum eigenvalue, and the corresponding eigenvector coincides with the MMSE receiver corresponding to the rank-one signal term. These properties are also applicable to long-code CDMA systems to provide an optimal multipath combining method
Keywords
code division multiple access; correlation methods; eigenvalues and eigenfunctions; least mean squares methods; matrix decomposition; multipath channels; multiuser channels; radio receivers; spread spectrum communication; DS-CDMA systems; MMSE receivers; autocorrelation matrices; blind startup; code-division multiple-access; eigenvector; generalized eigendecomposition; generalized eigenvectors; long-code CDMA systems; low-rank matrix; low-rank signal term; maximum eigenvalue; minimum eigenvalue; minimum mean squared error receiver; new user signature; noise subspace; optimal multipath combining method; rank-one matrix; rank-one signal term; Autocorrelation; Constraint optimization; Eigenvalues and eigenfunctions; Interference cancellation; Maximum likelihood detection; Multiaccess communication; Multiuser detection; Performance gain; Robustness; Training data;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.928702
Filename
928702
Link To Document