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On center locating in RBF network equalization in the GSM system

机译:GSM系统中RBF网络均衡中的中心定位

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In this paper we have studied methods for center locating in radial basis function (RBF) network equalization in the GSM (Global System for Mobile Communications) environment. Here, equalization is considered as a classification problem, where the idea is to map the received complex-valued signal into desired binary values using RBF network equalizer. Two techniques for the RBF center locating have been studied. The first one applies a nearest-neighbor type clustering procedure and the second one uses estimated channel coefficients for computing the possible center locations. These methods are studied in terms of bit error rates and computational efficiency. Performance comparisons are made to a previously studied RBF network, which considers each received training sequence vector as a center and also to a Viterbi equalizer.
机译:在本文中,我们研究了在GSM(全球移动通信系统)环境中在径向基函数(RBF)网络均衡中进行中心定位的方法。在这里,均衡被视为分类问题,其思想是使用RBF网络均衡器将接收到的复数值信号映射为所需的二进制值。研究了RBF中心定位的两种技术。第一个应用最邻近类型的聚类过程,第二个使用估计的信道系数来计算可能的中心位置。从误码率和计算效率方面研究了这些方法。对之前研究过的RBF网络进行了性能比较,该网络将每个接收到的训练序列向量都视为一个中心,并与一个Viterbi均衡器进行了比较。

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