电讯技术Issue(2)：151-155,5.DOI:10.3969/j.issn.1001-893x.2016.02.007
基于Takagi-Sugeno-Kang模糊集合的噪声干扰检测方法
A Takagi-Sugeno-Kang Fuzzy Approach to Noise Jamming Detection
摘要
Abstract
This paper proposes a Takagi-Sugeno-Kang( TSK) fuzzy approach to detect if there is artificial noise mixed in the radio channel. The TSK fuzzy system needs to build a training sequence by sampling the signal with and without artificial noise separately and arranging it properly. The training sequence makes the TSK fuzzy system study the character of noise from different generating sources by adjusting the polyno-mial coefficients of fuzzy rules and enables it to detect the artificial noise interference. The test of the ap-proach in a radio demonstrates that the proposed method can detect the artificial noise correctly even the automatic gain control of radio has reduced its power to the same level as that of thermal noise.关键词
干扰检测/Takagi-Sugeno-Kang模糊集合/噪声干扰Key words
interference detection/Takagi-Sugeno-Kang fuzzy set/noise jamming分类
信息技术与安全科学引用本文复制引用
张剑,周兴建,卢建川..基于Takagi-Sugeno-Kang模糊集合的噪声干扰检测方法[J].电讯技术,2016,(2):151-155,5.基金项目
国防重点实验室基金项目(9140C020203150C02005)Foundation Item:The National Defense Key Laboratory Fund(9140C020203150C02005) （9140C020203150C02005）
