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Characterizing Ultra-Wide Band Indoor Line-of-Sight Wireless Channel

期刊名称：Journal of System Engineering and Electronics
时间：0
页码：673-678
语言：中文
分类：TN914.5[电子电信—通信与信息系统;电子电信—信息与通信工程]
作者机构：[1]哈尔滨工业大学电子信息研究院,黑龙江哈尔滨150001
相关基金：国家自然科学基金重点项目（60432040）
相关项目：超宽带高速无线接入理论与关键技术

作者： Wang Yang, Zhang Naitong, Zhang Qinyu|

关键词： MLP分类器, 超宽带, 调制模式识别, 激活函数, MLP classifier, UWB, modulation scheme recognition, activation function

中文摘要：

提出一种利用人工神经网络进行超宽带信号调制模式自适应识别的方法。采用三层MLP神经网络进行调制模式识别。首先对超宽带数字调制信号进行统计特征参数提取，特征参数作为MLP网络的输入层神经元参数，隐含层是双层结构。实验证明，当中间层采用正切型激活函数、输出层采用线性激活函数时，MLP分类器的识别性能最好。在5dB信噪比环境下，算法的正确识别率高于95％。与传统的统计判决方法相比，神经网络分类器不需要设定判决门限就能实现自适应识别，并且达到更好的识别率，解决了软件无线电系统中的超宽带信号自动识别的问题。

英文摘要：

An artificial neural network based adaptive UWB modulation scheme recognition algorithm is proposed. A three- layer MLP neural network is designed to obtain the recognition task, The statistical characterization parameters of the UWB signal are extracted as the input neuron parameters of the input layer, and the hidden layer of the MLP network has two layers. Experiments show that the MLP network with tansigmoidal neurons in the hidden layer and with linear neurons in the output layer can achieve good recognition performance. The probability of the correct recognition of the MLP network with proper transfer functions is higher than 95% at 5 dB SNR condition. Compared with the traditional pattern recognition and statistics judgment algorithms, the MLP recognizer can achieve higher correct recognition probability and can classify the modulation scheme automatically without setting the judgment circumscriptions. The method may be widely used in the design of adaptive coding UWB systems.