DocumentCode :
3273549
Title :
Performance of subspace-based multiuser detection
Author :
Høst-Madsen, Anders ; Wang, Xiaodong
Author_Institution :
Dept. of Electr. Eng., Hawaii Univ., Honolulu, HI, USA
fYear :
2001
fDate :
2001
Firstpage :
10
Abstract :
In blind and group-blind linear multiuser detection, the detectors are estimated from the received signals. The performance of a number of estimated linear detectors, including the direct-matrix-inversion (DMI) blind linear MMSE detector, the subspace blind linear MMSE detector, the form-I and form-II group-blind linear hybrid detectors, is analyzed. Asymptotic limit theorems for each of the estimates of these detectors (when the signal sample size is large) are established, based on which the average output signal-to-inference-plus-noise ratios (SINRs) of these detectors are given
Keywords :
code division multiple access; interference (signal); least mean squares methods; matrix inversion; multiuser channels; receivers; signal detection; DMI blind linear MMSE detector; SINR; asymptotic limit theorems; blind linear multiuser detection; direct-matrix-inversion blind linear MMSE detector; estimated linear detectors performance; form-I group-blind linear hybrid detector; form-II group-blind linear hybrid detector; group-blind linear multiuser detection; received signals; signal-to-inference-plus-noise ratios; subspace blind linear MMSE detector; subspace-based multiuser detection; Additive white noise; Artificial intelligence; Autocorrelation; Detectors; Eigenvalues and eigenfunctions; Multiuser detection; Performance analysis; Signal detection; Signal to noise ratio; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7123-2
Type :
conf
DOI :
10.1109/ISIT.2001.935873
Filename :
935873
Link To Document :
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