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- W2161726076 abstract "This paper deals with adaptive reduced-rank, chip-level MMSE estimation for the forward link in CDMA based on the multi-stage nested Wiener filter (MSNWF). We first examine through simulations the convergence of 'block-adaptive' MSNWF based on training by pilot symbols; MSNWF operates in a low-rank subspace facilitating faster convergence than LMS and RLS. We then describe a semi-blind approach which exploits the underlying channel structure, specifically the fact that the channel impulse response is sparse, to adapt a much lower-dimensional equalizer. Our simulations show this low-rank MMSE equalizer converges very quickly to the asymptotic SINR." @default.
- W2161726076 created "2016-06-24" @default.
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- W2161726076 date "2002-11-11" @default.
- W2161726076 modified "2023-09-26" @default.
- W2161726076 title "Reduced-rank adaptive MMSE equalization for high-speed CDMA forward link with sparse multipath channels" @default.
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- W2161726076 doi "https://doi.org/10.1109/acssc.2000.910657" @default.
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