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