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   调制类型的自动识别 的翻译结果: 查询用时:0.008秒
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调制类型的自动识别
相关语句
  automatic modulation recognition
     Based on the characteristic parameters extracted from transform domains, the automatic modulation recognition has been realized by employing decision theory.
     该算法从变换域提取全部特征参数 ,采用决策理论算法 ,实现调制类型的自动识别
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  “调制类型的自动识别”译为未确定词的双语例句
     The potential applications of AMR include both civil and military communication, especially non-cooperative communications and communication confrontation, such as identifying signals, supervising signals, distinguishing interference, electronic confrontation, analyzing military threat, etc.
     调制类型的自动识别广泛应用于民用通信与军用通信,尤其是对于非合作性通信、通信对抗,比如:信号确认、信号监控、干扰辨识、电子对抗、软件无线电、电子救援、通信对抗、军事威胁分析等。
短句来源
     Based on the introduced emitter identification model, this paper extracts features from radar emitter signals with different PRI modulations as feature vector. Then the feature vector is used to classify automatically radar emitter signal with different PRI types using intelligent classifiers.
     按照所建立的辐射源识别模型,首先对信号参数进行特征提取,提取出表征辐射源PRI调制类型的特征向量,然后通过智能分类器对特征向量进行分类以实现对辐射源信号PRI调制类型的自动识别
短句来源
  相似匹配句对
     Recognition and Realization for Digitally Modulated Type
     数字调制类型的识别及实现
短句来源
     Automatic Recognition Algorithm of Digital Modulation Types
     数字调制方式的自动识别
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
     Online Automatic Modulation Recognition Based on Neural Networks
     基于神经网络的在线调制自动识别
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
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Modulation-style recognition of radar signals is an important aspect in electronic warfare. A hybrid RBF training algorithm combined with artificial immune clustering and evolutionary programming is proposed and applied in modulation-style recognition of radar signals. In the algorithm, artificial immunology for data clustering was used to adaptively determine the amount and the positions of initial RBF centers according to input data set. Then the RBF network was trained with evolutionary programming. Computer...

Modulation-style recognition of radar signals is an important aspect in electronic warfare. A hybrid RBF training algorithm combined with artificial immune clustering and evolutionary programming is proposed and applied in modulation-style recognition of radar signals. In the algorithm, artificial immunology for data clustering was used to adaptively determine the amount and the positions of initial RBF centers according to input data set. Then the RBF network was trained with evolutionary programming. Computer simulations demonstrate that the recognition rate of different analog modulation styles designed by the RBF network in this method is high.

对敌方雷达信号调制类型的识别是电子对抗的一个重要方面。采用了一种基于人工免疫聚类和进化规划的混合算法设计径向基函数(RBF)网络,并将其应用于雷达信号调制类型的自动识别。该算法首先利用一种实现数据聚类的人工免疫机制,根据输入数据集合自适应地确定RBF网络初始中心的数量和位置,之后采用进化规划训练RBF网络。仿真实验表明,采用这种方法设计的RBF网络对各种模拟调制信号的调制类型达到了较高的识别精度。

Under multipath channels, concerning with the problem of automatic recognition of modulation schemes, an algorithm of automatic modulation recognition (AMR) based on transform domains has been proposed. Based on the characteristic parameters extracted from transform domains, the automatic modulation recognition has been realized by employing decision theory. Analytical and simulation results show that the algorithm achieves better performance than other similar algorithms due to its higher recognition accuracy...

Under multipath channels, concerning with the problem of automatic recognition of modulation schemes, an algorithm of automatic modulation recognition (AMR) based on transform domains has been proposed. Based on the characteristic parameters extracted from transform domains, the automatic modulation recognition has been realized by employing decision theory. Analytical and simulation results show that the algorithm achieves better performance than other similar algorithms due to its higher recognition accuracy and more robust property.

在多径信道下 ,针对调制类型自动识别 (A MR)问题 ,提出了一种基于变换域的自动识别算法。该算法从变换域提取全部特征参数 ,采用决策理论算法 ,实现调制类型的自动识别。理论分析和仿真结果表明 ,该算法优于同类算法 ,具有较高识别精度和良好的健壮性。

The reconnaissance signal recogniton of PN code-carrier FM based on Spectrol Correlation (SC) method is studied, especially for Pseudo-Randorm Bi-phace Code (PRBC), SFM-PRBC and LFM-PRBC. Based on the character-extraction and anaiysis of the α -section of SC, the auto-classification of modulation class is investigated, and the carrier frequency and the parameter of FM are estimated. Further, the parameter of PN code are estimated. The influence of the noise and the limited-time of sampling is analyzed. Finally,...

The reconnaissance signal recogniton of PN code-carrier FM based on Spectrol Correlation (SC) method is studied, especially for Pseudo-Randorm Bi-phace Code (PRBC), SFM-PRBC and LFM-PRBC. Based on the character-extraction and anaiysis of the α -section of SC, the auto-classification of modulation class is investigated, and the carrier frequency and the parameter of FM are estimated. Further, the parameter of PN code are estimated. The influence of the noise and the limited-time of sampling is analyzed. Finally, the simulation shows the advantage of SC in the recognition of reconnaissance signal.

研究了伪码-载波调频侦察信号识别的谱相关方法,具体针对伪随机二相编码(PRBC)信号及其与正弦调频和线性调频复合信号作了研究。通过3种复合信号循环谱截面谱相关特征的分析和提取,完成了调制类型的自动识别,估计了载频和载波调频参数,对伪随机码信号的各项参数进行了估计。分析了噪声环境和有限采集时间对参数估计的影响,最后对调制识别和参数估计进行仿真分析,表明了谱相关方法在伪码-载波调频信号识别中的优势。

 
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