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调制样式识别     
相关语句
  modulation recognition
     The Research of Modulation/Demodulation Algorithm and Modulation Recognition Algorithm Based on the Software Defined Radio
     基于软件无线电的调制解调算法及调制样式识别算法的研究
短句来源
     Modulation recognition and parameter estimation is an important field in electronic countermeasures, it also is a rapidly evolving field of signal analysis.
     调制样式识别和调制参数估计是电子对抗中的一个重要环节,也是信号分析的一个快速发展的领域。
短句来源
     Based on the algorithm above,this paper addressed an algorithm based on OLS RBF neural network. The simulation was made for the modulation recognition and an improved algorithm was proposed to enhance the performance of the method.
     本文在该方法的基础上,针对该方法的数字信号调制样式识别进行深入仿真实现,并提出了基于该方法利用正交最小二乘法(OLS)的RBF神经网络实现数字信号调制样式自动识别的方法,最后对计算进行了改进,提高了该方法的识别能力,对SNR为8~20dB的信号识别得到了较好的结果.
短句来源
     Modulation recognition of communication signal is one of critical problems to us.
     通信信号的调制样式识别问题一直是困扰着电子对抗人员的重要问题之一。
短句来源
     The structure of hardware, working principle and characteristics of such equipment are discussed respectively. The implementation of DSP algorithm and experimental results are also presented for modulation recognition and demodulation.
     分别讨论了该设备的硬件组成、工作原理和特点,并给出了基于DSP的调制样式识别、解调软件算法实现方案以及试验结果。
短句来源
  classification of signal modulation
     The importance of the classification of signal modulation is more and more apparent in the uncooperative communication systems.
     在非合作通信体制下,通信信号的调制样式识别已经越来越占据重要作用。
短句来源
     The classification of signal modulation is a key in communication systems.
     调制样式识别是通信系统中的一个关键环节;
短句来源
  “调制样式识别”译为未确定词的双语例句
     An Identification Method of Digital Modulation TypesBased on Wavelet Transform and Auto-correlation
     基于小波自相关的数字调制样式识别
短句来源
     In order to reliably recognize various modulation types of communication signals under severe conditions and quickly adjust the scope of the recognizer when necessary, a recognition scheme based on data fusion technology in decision level was proposed.
     为在恶劣接收条件下识别通信信号的调制样式 ,并实现识别范围的快速调整 ,运用决策层信息融合技术提出了一种基于多分类器的调制样式识别方法。
短句来源
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  modulation recognition
A new digital modulation recognition method using features extracted from GAR model parameters
      
  其他


The automatic classification of modulation types is being discussed recently and there are so many ways. We discussed three ways here. One is based on the instantaneous parameters of signal, another is based on spectrum correlation function, and above all, we find a measurement using both the parameter of time domain and the parameter of frequency domain. It can be proved that the third one is better.

信号调制样式的识别是近年来信号处理领域研究的热点问题 ,其中对于统计量方法的研究更为集中。通过对信号调制样式识别的统计量方法 ,包括基于信号时频域瞬时参数的算法、谱相关算法的仿真与比较 ,这里提出一种将瞬时幅度的统计信息与频点个数相结合的新算法 ,将谱估计方法应用到这一领域。试验表明 ,这种新算法具有很好的识别效果 ,在信噪比不低于 10dB的情况下 ,正确识别率可以达到 90 %以上。

In order to reliably recognize various modulation types of communication signals under severe conditions and quickly adjust the scope of the recognizer when necessary, a recognition scheme based on data fusion technology in decision level was proposed. The scheme employed 20 simple features and consisted of three sub-classifiers: the "Hyper Box" classifier was designed to isolate the region occupied by each modulation type in the feature space, the nearest-neighbor classifier was as the main classifier, and...

In order to reliably recognize various modulation types of communication signals under severe conditions and quickly adjust the scope of the recognizer when necessary, a recognition scheme based on data fusion technology in decision level was proposed. The scheme employed 20 simple features and consisted of three sub-classifiers: the "Hyper Box" classifier was designed to isolate the region occupied by each modulation type in the feature space, the nearest-neighbor classifier was as the main classifier, and the Mahalanobis classifier was used to improve the reliability of the recognition results. All the sub-classifiers could be set up instantly. Experiments with off-the-air signals show that the proposed scheme can reliably recognize concerned modulation types and meanwhile reject unwanted ones with a high probability. It can adapt to the change of recognition scope automatically and quickly.

为在恶劣接收条件下识别通信信号的调制样式 ,并实现识别范围的快速调整 ,运用决策层信息融合技术提出了一种基于多分类器的调制样式识别方法。它采用了常规特征以及三种可以快速建立的子分类器 ,其中“超盒”分类器用于界定各调制样式不同特征的取值范围 ,最近邻分类器用于分类 ,马氏距离分类器用于提高识别结果的可靠程度。该方法可以自动地在短时间内根据设定的识别范围建立对应的识别器 ,对另类调制样式或噪声有高的拒识能力。

The algorithm for automatic recognition of digital signal modulation on the basis of policy_making theory developed by A.K.Nandi and E.E. Azzouz has the advantages of being simple to operate and fit for analysis online. Based on the algorithm above,this paper addressed an algorithm based on OLS RBF neural network. The simulation was made for the modulation recognition and an improved algorithm was proposed to enhance the performance of the method.The better results for signals with Gaussian noise were obtained,whose...

The algorithm for automatic recognition of digital signal modulation on the basis of policy_making theory developed by A.K.Nandi and E.E. Azzouz has the advantages of being simple to operate and fit for analysis online. Based on the algorithm above,this paper addressed an algorithm based on OLS RBF neural network. The simulation was made for the modulation recognition and an improved algorithm was proposed to enhance the performance of the method.The better results for signals with Gaussian noise were obtained,whose SNR are low to 8dB.Seven kinds of digital modulation signals were discussed,including 2ASK,4ASK,2PSK,4PSK(QPSK),2FSK,4FSK and 16QAM.

A.K.Nandi与E.E.Azzouz提出基于决策论的信号调制样式自动识别方法具有简单易行,适合在线分析的优点.本文在该方法的基础上,针对该方法的数字信号调制样式识别进行深入仿真实现,并提出了基于该方法利用正交最小二乘法(OLS)的RBF神经网络实现数字信号调制样式自动识别的方法,最后对计算进行了改进,提高了该方法的识别能力,对SNR为8~20dB的信号识别得到了较好的结果.本文识别的数字信号为2ASK、4ASK、2PSK、4PSK(QPSK)、2FSK、4FSK与16QAM七种信号.

 
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