Title :
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
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);
Conference_Titel :
Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on
Conference_Location :
Kowloon, Hong Kong
Print_ISBN :
978-1-4244-4642-1
DOI :
10.1109/COGINF.2009.5250676
