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调制模式自动识别
相关语句
  automatic modulation recognition
     Automatic Modulation Recognition of Communication Signals (AMR) is a rapidly evolving signal analysis area.
     调制模式自动识别(AMR)是近年来快速发展的一个领域,尽管已经取得了很多的成果,但是也还有许多技术问题有待解决。
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  “调制模式自动识别”译为未确定词的双语例句
     This paper makes researches on the au- tomatic recognition of DVB- S2 digital modulation schemes us- ing artificial neural network (ANN), and constructed an automat- ic recognition system to distinguish QPSK、8PSK、16APSK and 32APSK digital signals.
     本文针对新发布的DVB-S2标准,对应用人工神经网络进行数字信号调制模式自动识别进行了研究,设计并实现了对QPSK、8PSK、16APSK、32APSK四种调制模式的自动识别系统。
短句来源
  相似匹配句对
     Automatic Recognition Algorithm of Digital Modulation Types
     数字调制方式的自动识别
短句来源
     Automatic modulation classification of signals using wavelet transform and pattern recognition
     小波变换与模式识别用于自动识别调制模式
短句来源
     Automatic Modulation Recognition in the Software Defined Radio Technology
     软件无线电技术的调制方式的自动识别
短句来源
     Modulate the Signal and Discern Technical Research Automatically in Figure
     数字调制信号自动识别技术
短句来源
     Simulation of Automatic Recognition of Analogue Modulated Signals
     模拟信号调制方式自动识别仿真
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Automatic recognition of digital modulation schemes (ARDMS) is substantial to communication signals analyzing and processing. To use artificial neural network (ANN) in ARDMS,it is essential to form a self-contained feature vector space (SCFVS) beforehand. Basing on the elementary analysis method, the instantaneous features, spectral features and statistic features are discussed. Furthermore, this paper puts forward some high-order statistics for subclasses classification. And a SCFVS has been presented for ARDMS....

Automatic recognition of digital modulation schemes (ARDMS) is substantial to communication signals analyzing and processing. To use artificial neural network (ANN) in ARDMS,it is essential to form a self-contained feature vector space (SCFVS) beforehand. Basing on the elementary analysis method, the instantaneous features, spectral features and statistic features are discussed. Furthermore, this paper puts forward some high-order statistics for subclasses classification. And a SCFVS has been presented for ARDMS. Simulations show satisfactory results for nine different digital modulation types, even at signal-to-noise ratios (SNR) as low as 5dB.

数字信号调制模式的自动识别是无线通信中信号分析和处理的关键步骤之一。神经网络应用于数字信号调制模式识别的一个重要的预处理过程就是要形成完备的特征矢量空间。本文在原有分析方法的基础上,研究了信号的瞬时特征、谱特征和统计特征,特别提出了用于信号子类分析的新的高阶统计量特征,形成了数字调制模式自动识别的较为完备的特征矢量空间。通过对九种数字调制信号进行仿真表明,即使在信噪为5dB的条件下仍然能够获得较高的识别正确率。

Artificial neural network (ANN) is the model which imitate biology neural network, its virtues such as parallel dis- tributing dispose make it has much application potential in sig- nal pattern recognition. This paper makes researches on the au- tomatic recognition of DVB- S2 digital modulation schemes us- ing artificial neural network (ANN), and constructed an automat- ic recognition system to distinguish QPSK、8PSK、16APSK and 32APSK digital signals.

人工神经网络(ANN)是模仿生物神经网络的结构提出的模型,它所具有的并行分布处理等优点使其在模式识别领域有很大的应用潜力。本文针对新发布的DVB-S2标准,对应用人工神经网络进行数字信号调制模式自动识别进行了研究,设计并实现了对QPSK、8PSK、16APSK、32APSK四种调制模式的自动识别系统。

A novel algorithm is proposed to identify automatically the modulation types of the communication signals using wavelet transform and pattern recognition.Unlike other modulation classification algorithms,this one can identify analog and digital modulations at the same time.Wavelet transform is used to estimate the symbol rate of the received signals in order to discriminate between analog and digital modulation types.Then the feature parameters are extracted to identify the specific modulation type.Computer...

A novel algorithm is proposed to identify automatically the modulation types of the communication signals using wavelet transform and pattern recognition.Unlike other modulation classification algorithms,this one can identify analog and digital modulations at the same time.Wavelet transform is used to estimate the symbol rate of the received signals in order to discriminate between analog and digital modulation types.Then the feature parameters are extracted to identify the specific modulation type.Computer simulation results demonstrate that the performance of the algorithm is efficient when the SNR≥15dB.

本文提出小波变换与模式识别相结合的算法实现通信信号调制模式的自动识别。不同于其他调制模式识别算法,该算法能同时识别模拟调制信号和数字调制信号。采用小波变换估计信号的码速率以区分模拟信号和数字信号。对模拟信号或者数字信号,提取相应的特征参数,识别具体的调制模式。计算机仿真结果表明SNR≥15dB时,该算法具有很好的性能。

 
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