Title :
A widely linear LMS algorithm for MAI suppression for DS-CDMA
Author :
Schober, R. ; Gerstacker, W.H. ; Lampe, L.H.-J.
Author_Institution :
Dept. of Electr. & Comput. Eng., British Columbia Univ., Canada
Abstract :
In this paper, a novel data-aided stochastic gradient algorithm for adjustment of the widely linear (WL) minimum mean-squared error (MMSE) filter for multiple access interference (MAI) suppression for direct-sequence code-division multiple access (DS-CDMA) is introduced and analyzed. We give analytical expressions for the steady-state signal-to-interference-plus-noise ratio (SINR) of the proposed WL least-mean-square (LMS) algorithm, and we also investigate its speed of convergence. Both analytical considerations and simulations show in good agreement the superiority of the novel WL adaptive algorithm. Nevertheless, the computational complexity of the proposed algorithm is lower than that of the linear LMS algorithm.
Keywords :
code division multiple access; computational complexity; filtering theory; interference suppression; least mean squares methods; spread spectrum communication; DS-CDMA; MAI suppression; MMSE filter; SINR; computational complexity; direct sequence code division multiple access; least mean square algorithm; minimum mean square error filter; multiple access interference; steady-state signal-to-interference-plus-noise ratio; widely linear LMS algorithm; Algorithm design and analysis; Direct-sequence code-division multiple access; Least squares approximation; Multiaccess communication; Multiple access interference; Nonlinear filters; Signal analysis; Signal to noise ratio; Steady-state; Stochastic processes;
Conference_Titel :
Communications, 2003. ICC '03. IEEE International Conference on
Print_ISBN :
0-7803-7802-4
DOI :
10.1109/ICC.2003.1204401
