Title :
Speeding up Noise Subspace Estimation Algorithms using an Optimal Diagonal Matrix Step-Size Strategy for MC-CDMA Application
Author :
Yang, Lu ; Attallah, Samir
Author_Institution :
Dept. of ECE, Nat. Univ. of Singapore, Singapore
Abstract :
In this paper, we propose a new optimal diagonal-matrix step-size strategy for some noise subspace estimation algorithms. The proposed step-sizes control the decoupled subspace vectors individually as compared to conventional methods where all the subspace vectors are multiplied by the same step-size value. Simulation results show that this optimal diagonal- matrix step-size strategy outperforms the original algorithms as it offers faster convergence rate, smaller steady state error and similar orthogonality error simultaneously. Finally, the algorithms with the proposed step-size strategy are used for blind channel estimation in MC-CDMA system.
Keywords :
channel estimation; code division multiple access; computational complexity; matrix algebra; signal processing; MC-CDMA application; blind channel estimation; computational complexity; decoupled subspace vectors; noise subspace estimation algorithms; optimal diagonal-matrix step-size strategy; signal processing; Adaptive signal processing; Additive noise; Autocorrelation; Blind equalizers; Computational complexity; Convergence; Eigenvalues and eigenfunctions; Multicarrier code division multiple access; Signal processing algorithms; Steady-state;
Conference_Titel :
Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1644-8
Electronic_ISBN :
1550-2252
DOI :
10.1109/VETECS.2008.281