Title :
Adaptive reduced-rank residual correlation algorithms for DS-CDMA interference suppression
Author :
Honig, Michael L. ; Goldstein, J.Scott
Author_Institution :
Dept. of Electr. & Comput. Eng., Northwestern Univ., Evanston, IL, USA
Abstract :
A class of adaptive algorithms for DS-CDMA interference suppression is presented based on the multistage Wiener filter introduced by Goldstein and Reed (see IEEE Trans. Inform. Theory, vol. 44, no.7, 1998). Unlike the principal-components method for reduced-rank filtering this method performs well when the subspace spanned by the filter is less than the dimension of the signal subspace. We present block and recursive algorithms for estimating the filter parameters, which do not require matrix inversion or an eigen-decomposition The algorithm performance in the context of a heavily loaded DS-CDMA system is characterized via computer simulation.
Keywords :
Wiener filters; adaptive filters; adaptive signal processing; code division multiple access; correlation methods; filtering theory; interference suppression; radiofrequency interference; recursive estimation; spread spectrum communication; DS-CDMA interference suppression; adaptive reduced-rank residual correlation algorithms; algorithm performance; block algorithms; computer simulation; filter parameters estimation; filter subspace; linear MMSE detection; loaded DS-CDMA system; multistage Wiener filter; recursive algorithms; reduced-rank filtering; signal subspace dimension; Adaptive algorithm; Computer simulation; Integrated circuit modeling; Interference suppression; Maximum likelihood detection; Multiaccess communication; Nonlinear filters; Parameter estimation; Recursive estimation; Wiener filter;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.751433
