中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
GREEPS: AN GNSS-R END-TO-END PERFORMANCE SIMULATOR

文献类型:会议论文

作者Bai, Weihua; Xia, Junming; Zhao, Danyang; Sun, Yueqiang; Meng, Xiangguang; Liu, Congliang; Du, Qifei; Wang, Xianyi; Wang, Dongwei; Wu, Di
出版日期2016
会议名称36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议日期JUL 10-15, 2016
会议地点Beijing, PEOPLES R CHINA
关键词GNSS-R simulator Delay Doppler map
页码4831-4834
通讯作者Bai, WH (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Beijing 100190, Peoples R China. ; Bai, WH (reprint author), Beijing Key Lab Space Environm Explorat, Beijing 100190, Peoples R China.
英文摘要In order to understand the space-borne GNSS Reflection (GNSS-R) performance, an end to end simulator named GREEPS (GNSS-R End-to-End Performance Simulator) was developed by National Space Science Center (NSSC), Chinese Academy of Sciences. The simulator consists of four functional modules: Mission analysis module, forward modeling module, observation system modeling module and inversion/retrieval and precision Analysis module. This paper introduces each module's structure and capabilities. The preliminary simulation results are shown, including average and maximum number of simultaneously reflected GNSS satellites for 24 hours, coverage ratio between the +/- inclination of LEO for 24 hours, the sensitivity of Delay Doppler Map (DDM) to the wind field, and wind field and ocean altimetry retrieval precision analysis. GREEPS is a powerful and useful simulation software for space-borne GNSS-R mission and payload design, it will speed up the space-borne GNSS-R applications in China.
收录类别CPCI
会议录2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
语种英语
ISSN号2153-6996
ISBN号978-1-5090-3332-4
源URL[http://ir.nssc.ac.cn/handle/122/5754]  
专题国家空间科学中心_空间环境部
推荐引用方式
GB/T 7714
Bai, Weihua,Xia, Junming,Zhao, Danyang,et al. GREEPS: AN GNSS-R END-TO-END PERFORMANCE SIMULATOR[C]. 见:36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Beijing, PEOPLES R CHINA. JUL 10-15, 2016.

入库方式: OAI收割

来源:国家空间科学中心

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