中圖分類號(hào)： TP274+.2；V243.1 文獻(xiàn)標(biāo)識(shí)碼： A DOI：10.16157/j.issn.0258-7998.191418 中文引用格式： 周濤，朱峰，林川，等. 基于頻譜的機(jī)場(chǎng)周邊寬帶電磁干擾源識(shí)別[J].電子技術(shù)應(yīng)用，2020，46(6)：86-92，100. 英文引用格式： Zhou Tao，Zhu Feng，Lin Chuan，et al. Identification of wideband EMI sources around airport based on spectrum[J]. Application of Electronic Technique，2020，46(6)：86-92，100.
Identification of wideband EMI sources around airport based on spectrum
Zhou Tao1，Zhu Feng2，Lin Chuan2，Tang Jinsheng2
1.School of Physical Science and Technology，Southwest Jiaotong University，Chengdu 611756，China； 2.School of Electrical Engineering，Southwest Jiaotong University，Chengdu 611756，China
Abstract： In order to identify the electromagnetic interference sources around the airport，the spectrum data of various interference sources around airports are collected. The characteristics of interference sources are summarized and artificial features are carried out. The peak value, spectrum energy and coefficient of variation are selected as identification features. Entropy method is used to measure the discreteness of feature set, and the feature points with similar feature values within class and big differences between classes are highlighted. Finally, a double weighted feature template is obtained by weighting. Each feature template is mapped to a point in the high-dimensional space, the Euclidean distance between the template point and the test point is calculated, the threshold is divided by the mean variance method, and the pattern recognition is carried out by the template matching method. The experimental results show that this method is stable, fast and efficient, and has a high recognition rate of wide-band EMI sources, which has practical value for interference sources identification around the airport.
Key words : EMI；artificial feature extraction；template matching；interference source identification
