Title :
A stochastic gradient-based decorrelation algorithm with applications to multicarrier CDMA
Author :
Haimovich, A. ; Bar-Ness, Y. ; Manzo, R.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
A stochastic gradient-based decorrelation algorithm is suggested for separation of an unknown linear mixture of signals. It is shown that while the decorrelation algorithm is similar in cost to the LMS algorithm, its rate of convergence is significantly faster, making it more attractive for signal separation. Analysis of the decorrelator algorithm shows that the faster speed of convergence is a consequence of the eigenvalue spread associated with the decorrelation problem, which is smaller than the spread associated with the corresponding mean square problem. Operation of the algorithm is illustrated as an adaptive multiuser detector in a multiple carrier CDMA system
Keywords :
adaptive signal detection; approximation theory; code division multiple access; convergence of numerical methods; correlation methods; eigenvalues and eigenfunctions; stochastic processes; LMS algorithm; adaptive multiuser detector; convergence rate; eigenvalue spread; linear signals separation; mean square error; multiple carrier CDMA system; stochastic gradient based decorrelation algorithm; Algorithm design and analysis; Convergence; Costs; Decorrelation; Detectors; Eigenvalues and eigenfunctions; Least squares approximation; Multiaccess communication; Source separation; Stochastic processes;
Conference_Titel :
Vehicular Technology Conference, 1995 IEEE 45th
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-2742-X
DOI :
10.1109/VETEC.1995.504910
