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Proceedings Paper

Simple iterative method to exploit the signal space diversity
Author(s): Yabo Li; Xiang-Gen Xia; Genyuan Wang
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Paper Abstract

Signal space diversity is a power and bandwidth efficient diversity technique. To exploit the signal space diversity, joint maximum-likelihood (ML) detection at the receiver is usually needed, where the complexity grows expontentially with the dimension of a lattice. In this paper, we propose a serial concatenated scheme and two simple iterative methods to exploit the signal space diversity. The simple iterative methods are based on the idea of soft interference cancellation. The first iterative method is based on a scalar Gaussian approximation while the second one is a vector Gaussian approximation. The complexity of the first iterative method grows linearly with the dimension of the lattice, and the simulations show that when the dimension of the lattice N = 32, at BER = 10-5, the performance gap between the Rayleigh fading channel and the Gaussian channel is only 0.3 dB. The complexity of the second iterative method grows cubically with the dimension of the lattice and the simulations show that its performance approaches that of the optimal MAP detection method.

Paper Details

Date Published: 10 August 2004
PDF: 12 pages
Proc. SPIE 5440, Digital Wireless Communications VI, (10 August 2004); doi: 10.1117/12.562324
Show Author Affiliations
Yabo Li, Univ. of Delaware (United States)
Xiang-Gen Xia, Univ. of Delaware (United States)
Genyuan Wang, Univ. of Delaware (United States)

Published in SPIE Proceedings Vol. 5440:
Digital Wireless Communications VI
Raghuveer M. Rao; Sohail A. Dianat; Michael D. Zoltowski, Editor(s)

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