No prior recognition method of modulation mode by partition-fractal and SVM learning method
No prior recognition method of modulation mode by partition-fractal and SVM learning method
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基于分区分形和SVM学习方法的调制模式无先验识别方法
DOI：
10.3788/col202018.111404
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发表时间：
2020-09
影响因子：
3.5
通讯作者：
杨雷静
中科院分区：
文献类型：
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作者：
李姗姗;张琦;忻向军;高然;周思彤;陶滢;沈宇飞;常欢;田清华;田凤;王拥军;杨雷静
针对卫星激光通信系统中调制方式的无先验识别问题，提出了一种结合分形和支持向量机学习方法的调制分类方法。在9种调制模式下验证了该方法的有效性和准确性，并与其他学习算法进行了比较。仿真结果表明，当调制信号的信噪比大于8 dB时，基于该方法的分类器准确率可达到98%以上，特别是在二相移键控和正交移幅键控模式下
A modulation classification method in combination with partition-fractal and support-vector machine (SVM) learning methods is proposed to realize no prior recognition of the modulation mode in satellite laser communication systems. The effectiveness and accuracy of this method are verified under nine modulation modes and compared with other learning algorithms. The simulation results show when the signal-to-noise ratio (SNR) of the modulated signal is more than 8 dB, the classifier accuracy based on the proposed method can achieve more than 98%, especially when in binary phase shift keying and quadrature amplitude shift keying modes
DOI：
10.1002/9781118906507
发表时间：
2015-02
期刊：
--
影响因子：
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作者：
Zhechen Zhu;A. Nandi
通讯作者：
Zhechen Zhu;A. Nandi