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題名 | Using Least Squares Support Vector Machines for Adaptive Communication Channel Equalization |
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作者 | Lin, Cheng-jian; Hong, Shang-jin; Lee, Chi-yung; | 書刊名 | International Journal of Applied Science and Engineering |
卷期 | 3:1 民94.04 |
頁次 | 頁51-59 |
分類號 | 448.5 |
關鍵詞 | Digital communication; Adaptive equalizer; Support vector machines; Time-varying channel; Kernel function; |
語文 | 英文(English) |
英文摘要 | Adaptive equalizers are used in digital communication system receivers to mitigate the effects of non-ideal channel characteristics and to obtain reliable data transmission. In this paper, we adopt least squares support vector machines (LS-SVM) for adaptive communication channel equalization. The LS-SVM involves equality instead of inequality constraints and works with a least squares cost function. Since the complexity and computational time of a LS-SVM equalizer are less than an optimal equalizer, the LS-SVM equalizer is suitable for adaptive digital communication and signal processing applications. Computer simulation results show that the bit error rate of the LS-SVM equalizer is very close to that of the optimal equalizer and better than multilayer perceptron (MLP) and wavelet neural network (WNN) equalizers. |
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