| 无线电报务训练装置设计 |
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| 引用本文： | 左衍琴,张敬秋,朱 俊.无线电报务训练装置设计[J].无线电通信技术,2014(1):68-70. |
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| 作者姓名： | 左衍琴 张敬秋 朱 俊 |
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| 作者单位： | 中国卫星海上测控部,江苏江阴214431 |
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| 摘 要： | 针对以往无线电报务训练装置硬件成本要求高和码字识别率低等问题,设计了一种基于PC的无线电报务训练装置,它具有发报和收报训练功能,对码字识别效率较高。同时,在码字识别算法上,采用了快速傅里叶变换(FFT)算法对装置进行频域识别,有效提高了抗干扰性。分别采用最大类间方差法和机器学习法,有效提高了码字识别的适应能力和准确性。
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| 关 键 词： | 无线电报务 点划码FFT算法 最大类间方差法 机器学习法 |
Design on Telegraph Training Equipment |
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| ZUO Yan-qin,ZHANG Jing-qiu,ZHU Jun.Design on Telegraph Training Equipment[J].Radio Communications Technology,2014(1):68-70. |
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| Authors: | ZUO Yan-qin ZHANG Jing-qiu ZHU Jun |
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| Affiliation: | (China Satellite Maritime TT＆C Department,Jiangyin Jiangsu 214431, China) |
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| Abstract: | In order to solve the problem of high hardware cost and low recognition rate,a new telegraph training equipment based on PC is designed.The equipment can satisfy telegraph sending and receiving training with high recognition rate.It improves anti-inter- ference by using FFT to recognize code on frequency domain.It also improves the accuracy and adaption of code recognition by ostu and machine-learning. |
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| Keywords: | telegraph Morse code FFT ostu machine-learning |
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