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Proceedings Paper

Adaptive blind equalization for multicarrier CDMA systems with receiver diversity
Author(s): Da-Ching Chen; Kung Yao
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Paper Abstract

In this paper we present a new adaptive blind equalization algorithm for multicarrier CDMA systems with single or multiple receive antennas. We analyze the cost function in the well-known subspace method and interpret it in terms of the noise projection matrix. The projection matrix is shown to be a special weighted spectral decomposition of the data autocorrelation matrix, which can be effectively approximated by inverting the data autocorrelation matrix. By adding a user specific correction term to the common cost function, we show that all user channel impulse responses can be estimated in parallel. In this way we develop a block algorithm with low complexity first. We then derive a recursive algorithm using RLS-type matrix updating. Simulations show our recursive algorithm has fast convergence and is near-far resistant. The bit error rate performance is also shown to improve as receiver diversity increases.

Paper Details

Date Published: 20 November 2001
PDF: 9 pages
Proc. SPIE 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI, (20 November 2001); doi: 10.1117/12.448684
Show Author Affiliations
Da-Ching Chen, Univ. of California/Los Angeles (United States)
Kung Yao, Univ. of California/Los Angeles (United States)


Published in SPIE Proceedings Vol. 4474:
Advanced Signal Processing Algorithms, Architectures, and Implementations XI
Franklin T. Luk, Editor(s)

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