空军预警学院学报Issue(6)：422-426,435,6.DOI:10.3969/j.issn.2095-5839.2014.06.009
基于分形盒维数与小波包能量的干扰识别方法
Jamming recognition scheme based on fractal box dimension and Wavelet packet energy
黄浩 1吴利民 1鲍蕾蕾 1刘旺2
作者信息
- 1. 空军预警学院，武汉430019
- 2. 63600部队，甘肃酒泉736401
- 折叠
摘要
Abstract
To the problem of the common jamming recognition in military communication systems, we propose a jamming recognition scheme based on the fractal box dimension and wavelet packet energy. Firstly, we extract the fractal box dimension and two characteristic parameters ( Wpt5 and Wpt7 ) of wavelet packet energy of the various jamming , and allow them to be as the characteristic parameters of classified recognition, then achieve the jamming to be classified by putting them into the designed support vector machines based on binary tree (BT-SVM). Simulation results show that the characteristic parameters extracted have a better separation and stability, using the BT-SVM method can achieve a higher rate of jamming recognition, and the recognition effect of using the scheme proposed in this paper is more effective than that of the conventional one.关键词
干扰识别/军用通信系统/分形盒维数/小波包能量/支持向量机Key words
jamming recognition/military communications systems/fractal box dimensions/Wavelet packet energy/support vector machine (SVM)分类
信息技术与安全科学引用本文复制引用
黄浩,吴利民,鲍蕾蕾,刘旺..基于分形盒维数与小波包能量的干扰识别方法[J].空军预警学院学报,2014,(6):422-426,435,6.
