[1]郭利荣,何明浩,郁春来,等.基于频谱图像中心矩特征的雷达信号分选方法[J].探测与控制学报,2015,(02):77.[doi:.]
 GUO Lirong,HE Minghao,YU Chunlai,et al.Radar Signal Sorting Based on Spectrum Image Central Moment Feature[J].,2015,(02):77.[doi:.]
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基于频谱图像中心矩特征的雷达信号分选方法()
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《探测与控制学报》[ISSN:1008-1194/CN:61-1316/TJ]

卷:
期数:
2015年02期
页码:
77
栏目:
出版日期:
2015-05-26

文章信息/Info

Title:
Radar Signal Sorting Based on Spectrum Image Central Moment Feature
文章编号:
1008-1194(2015)02-0077-05
作者:
郭利荣何明浩郁春来王冰切
空军预警学院,湖北 武汉430019
Author(s):
GUO Lirong HE Minghao YU Chunlai WANG Bingqie
Air Force Early Warning Academy, Wuhan 430019,China
关键词:
离散傅里叶变换频谱图像中心矩特征支持向量机信号分选
Keywords:
DFT spectrum image central moment characteristic support vector machine signal sorting
分类号:
TN971
DOI:
.
文献标志码:
A
摘要:
针对新体制频率捷变雷达信号分选准确率低的问题,提出了基于频谱图像中心矩特征的雷达信号分选方法。该方法首先对雷达信号进行离散傅里叶变换(DFT),得到频谱图像;然后对频谱图像进行预处理,提取频谱图像中心矩特征为信号的相参特征;最后采用支持向量机分类器实现信号分选。以新体制频率捷变雷达信号为代表进行的仿真验证表明,该方法在小样本及较低信噪比下仍能获得较为满意的分选准确率,当信噪比为5 dB时,信号分选准确率达到98%,验证了所提出方法的有效性。
Abstract:
Aiming at the problem of the low sorting accuracy of advanced frequency agility radar signals, a radar signal sorting approach based on spectrum image central moment feature was proposed in this paper. Firstly, DFT for radar signals was taken to get the spectrum image. Then, the spectrum image pretreatment was made, and the central moment feature of spectrum image was extracted as coherent characteristic. Finally, the support vector machine was applied to signals sorting. Simulation results showed that the proposed approach could achieve satisfactory accurate sorting in low signal-to-noise ratio (SNR) and small sample amount represented by the advanced frequency agility radar signals. The validity of the approach was demonstrated by experimental results.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2014-09-12
基金项目:国家自然科学基金项目资助(61201123,61302194);2012空军装备科研项目资助(KJ2012232)
作者简介:郭利荣(1988-),男,福建建瓯人,硕士研究生,研究方向:电子对抗及信息处理。E-mail:guolirong@163.com。
更新日期/Last Update: 2015-06-17