A new MMSE multiuser detection based on interference-subspace

Author

Zhang, Junlin ; Nie, Ling

Author_Institution

Coll. of Electron. Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China

fYear

2009

fDate

15-17 June 2009

Firstpage

557

Lastpage

560

Abstract

The minimum mean square error (MMSE) multiuser detectors (MUDs) based on interference-subspace are deeply investigated, and power iterations for subspace tracking algorithm and a modified MMSE multiuser detector are designed to solve the problems of detecting performance degradation caused by eigenvalue estimation errors. The simulation results show that the proposed modified MMSE detector has faster convergence rate, better output SIR (signal to interference ratio) and bit error rate (BER) and lower the computational complexity.

Keywords

computational complexity; interference (signal); least mean squares methods; multiuser detection; MMSE multiuser detection; bit error rate; computational complexity; eigenvalue estimation errors; interference-subspace; minimum mean square error; power iterations; signal to interference ratio; subspace tracking algorithm; Algorithm design and analysis; Bit error rate; Computational modeling; Degradation; Detectors; Eigenvalues and eigenfunctions; Estimation error; Interference; Mean square error methods; Multiuser detection; Interference-subspace; MMSE (minimum mean square error); Multi-user detection (MUD);

fLanguage

English

Publisher

ieee

Conference_Titel

Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on

Conference_Location

Kowloon, Hong Kong

Print_ISBN

978-1-4244-4642-1

Type

conf

DOI

10.1109/COGINF.2009.5250676

Filename

5250676