A Krylov subspace approach to blind channel estimation for CDMA systems
作者： M. Torlak , O. Ozdemir
DOI: 10.1109/ACSSC.2002.1197266
关键词: Eigenvalues and eigenvectors 、 Subspace topology 、 Noise (signal processing) 、 Fading 、 Mathematics 、 Algorithm 、 Communication channel 、 Krylov subspace 、 Singular value decomposition 、 Code division multiple access 、 Speech recognition
摘要: The estimation of multipath channel parameters for CDMA systems can be easily done with the aid training sequences. In absence sequences, a number subspace-based methods have been proposed under frequency-selective fading. However, these generally rely on signal and noise space eigenvectors obtained by eigenvalue or singular value decompositions (EVD SVD). this paper, blind technique based Krylov subspace received signals without relying EVD SVD is proposed. Another advantage that it estimate using fewer vectors as compared to eigenvector methods.
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