A Real-Time Interference Monitoring Technique for GNSS Based on a Twin Support Vector Machine Method.

Li, Wutao; Huang, Zhigang; Lang, Rongling; Qin, Honglei; Zhou, Kai; Cao, Yongbin

Li, Wutao; Huang, Zhigang; Lang, Rongling; Qin, Honglei; Zhou, Kai; Cao, Yongbin.

Afiliación

Li W; School of Electronics and Information Engineering, Beihang University, Beijing 100191, China. lwt_beihang@buaa.edu.cn.
Huang Z; School of Electronics and Information Engineering, Beihang University, Beijing 100191, China. baahzg@163.com.
Lang R; School of Electronics and Information Engineering, Beihang University, Beijing 100191, China. ronglinglang@163.com.
Qin H; School of Electronics and Information Engineering, Beihang University, Beijing 100191, China. qhlmmm@sina.com.
Zhou K; Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100094, China. zhoukai@aoe.ac.cn.
Cao Y; Realsil Microelectronics Inc., Suzhou 215021, China. cao121917@126.com.

Sensors (Basel) ; 16(3)2016 Mar 04.

Article en En | MEDLINE | ID: mdl-26959020

Palabras clave

global navigation satellite system; interference monitoring; twin support vector machine

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2016 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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