Extraction of a new sorting feature-G feature for radar pulse sequences

被引：0
|
作者：
Guo, Qiang [1 ]
Zhang, Xingzhou
Li, Zheng
机构：
[1] Harbin Engn Univ, Coll Informat & Communicat Engn, Harbin 150001, Peoples R China
[2] SW China Res Inst Elect Equipment, Chengdu 610036, Peoples R China
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2006年 / 13E卷
关键词：
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
A new feature extraction method for radar pulse sequences was presented based on structure function and empirical mode decomposition in this paper using fractal geometry theory and Hilbert-Huang transform theory. The 2-dimension attribute information was constituted with radio frequency and time-of-arrival in this method which analyzed and extracted the periodical change feature - G feature that hides in the radar pulse sequences. The experiment result shows that, by the method, the frequency of the period-change radio frequency signal can be extracted efficiently in the complex pulses environment. A new feature for the signal sorting of interleaved radar pulse sequences is found.
引用
收藏
页码：130 / 134
页数：5
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