A new method for extracting instantaneous frequency feature of emitter signal

摘要：

Currently, mostly used method for Instantaneous Frequency (IF) feature extraction of radar signal is two-dimensional graph, which is easy for people to distinguish, but not for machines. This article proposes a feature extraction algorithm based on instantaneous frequency of radiation source. Using the statistical change difference of different IF signals, we formulate the classification feature vectors describing the various types of signal pulse modulation laws, according which we do some classification experiments. The experiments prove that instantaneous frequency characteristics of radiation sources can characterize the change difference of different modulation signals and have some anti-noise performance. We are sure that this method can be used in signal sorting, and can be realized in practice.

关键词： signal classify instantaneous frequency of radar signals feature extraction classify feature vectors

作者: Junfeng Tan Xiaopeng Yan Jiantao Wang Ping Li

作者单位: National Key Laboratory of Mechatronics Engineering and Control, Beijing Institute of Technology Beijing, China 100081

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 609-615

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）