Abstract:The problem of blind adaptive channel estimation in code-division multiple access systems is considered. Motivated by the iterative power method, used in Numerical Analysis for estimating singular values and singular vectors, we develop RLS and LMS subspace based adaptive algorithms in order to identify the impulse response of the multipath channel. The schemes proposed in this paper use only the spreading code of the user of interest and the received data and are therefore blind. Both versions (RLS and LMS) exhibit rapid convergence combined with low computational complexity. With the help of simulations we demonstrate the improved performance of our methods as compared to the already existing techniques in the literature.
Abstract:We consider the problem of blind channel estimation in zero padding OFDM systems. For the first time, blind adaptive algorithms are proposed that identify the impulse response of the multipath channel. In particular, we develop RLS and LMS schemes that exhibit rapid convergence combined with low computational complexity and numerical stability. Both versions are obtained by properly modifying the orthogonal iteration method used in Numerical Analysis for the computation of singular vectors. With a number of simulation experiments we demonstrate the satisfactory performance of our adaptive schemes under diverse signaling conditions.
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