Design of a blind spatial and temporal RBF equalizer using a genetic algorithm
This paper describes a new solution to channel intersymbol interference and nonlinear distortion by means of an adaptive array antenna and radial basis function (RBF) equalizer. The RBF equalizer can reduce the influence of intersymbol interference and additive noise in the digital communication sys...
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| Veröffentlicht in: | Electrical engineering in Japan 2005-09, Vol.152 (4), p.50-56 |
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| container_title | Electrical engineering in Japan |
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| creator | Watanabe, Katsuhide Lin, Hai Yamashita, Katsumi |
| description | This paper describes a new solution to channel intersymbol interference and nonlinear distortion by means of an adaptive array antenna and radial basis function (RBF) equalizer. The RBF equalizer can reduce the influence of intersymbol interference and additive noise in the digital communication system. It is also well known to eliminate nonlinear distortion effectively. However, conventional RBF equalizers including our previous proposed equalizer, a spatial and temporal RBF equalizer using adaptive array antenna, need training data to learn channel states, which incurs a decline in the data rate. In this paper, without training data, we construct a blind spatial and temporal RBF equalizer using genetic algorithm. We also describe a method of synthesizing Bayesian decision variables of RBF equalizers in order to obtain better performance. The RBF equalizer based on the proposed method can achieve a remarkable improvement in BER characteristics and its performance is demonstrated by computer simulations. © 2005 Wiley Periodicals, Inc. Electr Eng Jpn, 152(4): 50–56, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20123 |
| doi_str_mv | 10.1002/eej.20123 |
| format | Article |
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The RBF equalizer can reduce the influence of intersymbol interference and additive noise in the digital communication system. It is also well known to eliminate nonlinear distortion effectively. However, conventional RBF equalizers including our previous proposed equalizer, a spatial and temporal RBF equalizer using adaptive array antenna, need training data to learn channel states, which incurs a decline in the data rate. In this paper, without training data, we construct a blind spatial and temporal RBF equalizer using genetic algorithm. We also describe a method of synthesizing Bayesian decision variables of RBF equalizers in order to obtain better performance. The RBF equalizer based on the proposed method can achieve a remarkable improvement in BER characteristics and its performance is demonstrated by computer simulations. © 2005 Wiley Periodicals, Inc. Electr Eng Jpn, 152(4): 50–56, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). 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The RBF equalizer based on the proposed method can achieve a remarkable improvement in BER characteristics and its performance is demonstrated by computer simulations. © 2005 Wiley Periodicals, Inc. Electr Eng Jpn, 152(4): 50–56, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). 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| subjects | array antenna blind genetic algorithm nonlinear channel RBF equalizer |
| title | Design of a blind spatial and temporal RBF equalizer using a genetic algorithm |
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