电波科学学报2019，Vol.34Issue(1)：52-59,8.DOI:10.13443/j.cjors.2018081303
基于电磁散射特征参数提取与数据分布分析的非线性目标识别
Nonlinear target recognition based on electromagnetic scattering feature parameter extraction and data distribution analysis
摘要
Abstract
The detection and identification of nonlinear targets havea great significance in the fields of national defense, anti-terrorism, security, rescue, and traffic safety. In order to improve the detection and recognition ability of nonlinear targets in the above scenarios, taking a typical nonlinear device, Schottky diode, as an example, a harmonic scattering model of nonlinear targets is constructed. On this basis, using the characteristics of different harmonic intensity and variation trend of different types of nonlinear target scattering, a method of extracting and analyzing the target scattering characteristic parameters by using mathematical methods to realize the detection and recognition of nonlinear targets is proposed. The experimental results show that the proposed method has a recognition rate of 81％ for unknown nonlinear targets under small samples, which proves that the method has better detection and recognition ability for nonlinear devices.关键词
电磁散射/特征提取/目标识别/非线性目标/数据分布Key words
scattering/featureextraction/targetrecognition/nonlineartargets/data distribution分类
信息技术与安全科学引用本文复制引用
张量,刘洋,王飞,王天庭,吴先良..基于电磁散射特征参数提取与数据分布分析的非线性目标识别[J].电波科学学报,2019,34(1):52-59,8.基金项目
国家自然科学基金 (61701163, 51477039) （61701163, 51477039）
2018年度安徽省自然科学研究项目重大项目 (KJ2018ZD046) （KJ2018ZD046）
