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題名 | Adaptive Bayesian Decision Feedback Equalizer for Radio Channel with High-power Amplifier=適應性貝氏決定--回授式非線性高功率無線通訊等化器之研究 |
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作者 | 王光仁; 陳巽璋; | 書刊名 | Proceedings of the National Science Council : Part A, Physical Science and Engineering |
卷期 | 24:1 2000.01[民89.01] |
頁次 | 頁61-72 |
分類號 | 448.82 |
關鍵詞 | 非線性高功率無線通訊等化器; 適應性貝氏決定--回授通道等化器; Adaptive bayesian equalizer; High power amplifier; Non-linear distortion; Complex radial basis function; Channel estimator; |
語文 | 英文(English) |
英文摘要 | The optimal equalization solution under the classical symbol-by-symbol decision-making architecture is an inherently nonlinear problem; therefore, some degree of nonlinear decision making ability is desirable in the equalizer structure, even for a linear channel. The Bayesian equalizer has been shown to be an optimum solution for a symbol-by-symbol equalizer in terms of signal detection. In this paper, the performance of the adaptive Bayesian decision feedback equalizer (DFE) with the complex radial basis function/stochastic gradient (CRBF/SG) algorithm used as a non-linear channel (e.g., a radio channel with a high-power amplifier) estimator for channel equalization is investigated. Also, the Bayesian decision making (or classification) of the adaptive Bayesian DFE, for the M-level complex signaling scheme, is implemented using the CRBF network. To evaluate the performance of this adaptive Bayesian DFE, the error rate in symbol detection is evaluated and is shown to be better than that of the conventional least mean square (LMS) DFE and other existing methods. |
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