DOA estimation in the time–space CDMA system using modified particle swarm optimization

Authors: Jhih-Chung Chang, Ann-Chen Chang

Abstract:
In this paper, we consider the problem of estimating the direction-of-arrival (DOA) of code-division multiple access (CDMA) signals. It has been shown that the searching complexity and estimating accuracy of the conventional spectral searching methods strictly depend on the number of search grids used during the search. It is time consuming and the required number of search grids is not easy to determine. For the purpose of efficient estimation, a highly efficient approach has been proposed that is implemented on polynomial rooting rather than spectral searching. However, this rooting method is suboptimal in the presence of the noise and multiple access interference (MAI). As proposed in this paper, a novelty particle swarm optimization (PSO) with the proposed techniques offers a much faster convergence compared to the PSO with hard-constraints. In conjunction with a modified PSO for angle searching, the proposed approach can achieve the advantages of reducing search complexity andmore accurate estimate over existing conventional spectral searching method. Finally, several computer simulation examples are provided for illustration and comparison.

Keywords:
Particle swarm optimization
Direction-of-arrival estimation
CDMA

Published in: AEÜ-International Journal of Electronics and Communications (Volume 67, Issue 4, April 2013)

Publisher: Elsevier

ISSN Information: 1434-8411

DOA estimation in the time–space CDMA system using modified particle swarm optimization

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