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毕业论文网 > 任务书 > 矿业类 > 测绘工程 > 正文

星载GNSS-R观测值仿真软件开发任务书

 2020-05-01 08:41:37  

1. 毕业设计(论文)的内容和要求

星载gnss-r是当前国内外大地测量领域的研究热点之一。

目前,已有tds-1和cygnss两种gnss反射卫星在轨运行和对地观测。

星载gnss-r的观测值延迟多普勒图(ddm),受到多种因素的影响,因此,开发一个可以模拟星载gnss-r观测值的软件对开展星载gnss-r的应用研究具有非常大的帮助。

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2. 参考文献

[1] Zavorotny V U , Gleason S , Cardellach E , et al. Tutorial on Remote Sensing Using GNSS Bistatic Radar of Opportunity[J]. IEEE Geoscience and Remote Sensing Magazine, 2014, 2(4):8-45. [2] Ruf C., Posselt D. J., Majumdar S. et al. CYGNSS handbook, 2016. [3] Zavorotny V U , Voronovich A G . Scattering of GPS signals from the ocean with wind remote sensing application[J]. IEEE Transactions on Geoscience Remote Sensing, 2000, 38(2):951-964. [4] Elfouhaily T , Chapron B , Katsaros K , et al. A unified directional spectrum for long and short wind-driven waves[J]. Journal of Geophysical Research Oceans, 1997, 102(C7). [5] Cox C , Munk W . Measurement of the Roughness of the Sea Surface from Photographs of the Sun#8217;s Glitter[J]. J.opt.soc.am, 1954, 44(11):838-850. [6] Park H , Marchan-Hernandez J F , Rodriguez-Alvarez N , et al. End-to-end simulator for Global Navigation Satellite System Reflectometry space mission[C]// Geoscience Remote Sensing Symposium. IEEE, 2010. [7] Park H , Camps A , Pascual D , et al. Improvement of the PAU/PARIS End-to-end Performance Simulator (P 2EPS) in preparation for upcoming GNSS-R missions[C]// Geoscience Remote Sensing Symposium. IEEE, 2014. [8] Hyuk P , Camps Carmona, Adriano Jos#233;, Pascual Biosca D , et al. Evolution of PAU/PARIS End-to-end performance simulator (P2EPS) towards GNSS reflectometry, radio occulation and scatterometry simulator (GEROS-SIM)[C]// Geoscience Remote Sensing Symposium. IEEE, 2015. [9] Voronovich A G , Zavorotny V U . Bistatic Radar Equation for Signals of Opportunity Revisited[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017:1-10. [10] 杨东凯, 张其善. GNSS反射信号处理基础与实践[M]. 电子工业出版社, 2012. [11] 祁永强, 张波, 杨东凯, et al. 机载GNSS海洋反射信号的建模与仿真[J]. 北京航空航天大学学报, 2017(3).

3. 毕业设计(论文)进程安排

2018.11.30-12.30 资料收集、阅读文献和撰写开题报告 2019.1.8-2019.4.8 英文翻译、实际工作和撰写论文提纲 2019.4.8-2019.5.30 撰写论文和提交论文初稿 2019.6.1-2019.6.10 完善论文和提交论文正文 2019.6.11-2019.6.17 准备论文答辩

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