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Adaptive reduced-rank interference suppression based on the multistage Wiener filter

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2 Author(s)
Honig, M.L. ; Dept. of Electr. & Comput. Eng., Northwestern Univ., Evanston, IL, USA ; Goldstein, J.Scott

A class of adaptive reduced-rank interference suppression algorithms is presented based on the multistage Wiener filter (MSWF). The performance is examined in the context of direct-sequence (DS) code division multiple access (CDMA). Unlike the principal components method for reduced-rank filtering, the algorithms presented can achieve near full-rank performance with a filter rank much less than the dimension of the signal subspace. We present batch and recursive algorithms for estimating the filter parameters, which do not require an eigen-decomposition. The algorithm performance in a heavily loaded DS-CDMA system is characterized via computer simulation. The results show that the reduced-rank algorithms require significantly fewer training samples than other reduced- and full-rank algorithms

Published in:

Communications, IEEE Transactions on  (Volume:50 ,  Issue: 6 )