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Robust Kalman Filter Aided GEO/IGSO/GPS Raw-PPP/INS Tight Integration.
Gao, Zhouzheng; Li, You; Zhuang, Yuan; Yang, Honglei; Pan, Yuanjin; Zhang, Hongping.
Afiliación
  • Gao Z; School of Land Science and Technology, China University of Geosciences Beijing, Beijing 100083, China. zhouzhenggao@126.com.
  • Li Y; Shanxi Provincial Key Laboratory for Resources, Environment and Disaster Monitoring, Jinzhong 030600, China. zhouzhenggao@126.com.
  • Zhuang Y; Department of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada. liyou331@gmail.com.
  • Yang H; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China. zhy.0908@gmail.com.
  • Pan Y; School of Land Science and Technology, China University of Geosciences Beijing, Beijing 100083, China. yanghonglei226@126.com.
  • Zhang H; Shanxi Provincial Key Laboratory for Resources, Environment and Disaster Monitoring, Jinzhong 030600, China. yanghonglei226@126.com.
Sensors (Basel) ; 19(2)2019 Jan 21.
Article en En | MEDLINE | ID: mdl-30669595
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: China