首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Interpretation of elevation-scan HF backscatter data from Losquet Island radar
Institution:1. CEREMA, DTO/DLRCA, ENDSUM, Angers, France;2. LUNAM Université, IFSTTAR, F-44340, Bouguenais, France;3. Université Catholique de Louvain (UCL), Belgium;1. Bowen Company, Av. du Canada, 91 940 Les Ulis, France;2. MIA Laboratory, La Rochelle Université, Av. Albert Einstein, BP 33 060, 17 031 La Rochelle, France;1. School of Transportation, Southeast University, #2 Southeast University Road, Nanjing 211189, PR China;2. Department of Civil and Environmental Engineering, University of California, Davis, CA 95616, USA;1. PRES LUNAM, Institut Francais des Science et Technologies des Transports, de l''Amenagement et des Reseaux (IFSTTAR), COSYS/MACSI, CS4 Route de Bouaye 44344, France;2. Massachusetts Institute of Technology (MIT), Mechanical Engineering, 77 Massachusetts Avenue, 02139 Cambridge MA, USA;3. Consortium GIS DURSI, CS4 Route de Bouaye 44344, France;1. Technische Universität Berlin, 10623 Berlin, Germany;2. Zoller + Fröhlich GmbH, 88239 Wangen im Allgäu, Germany
Abstract:Most methods using HF ground backscatter radar data to estimate the ionospheric bottomside electron density profile rely upon multi-frequency measurements of the minimum group delay. However, information of the same nature can also be extracted at a single frequency if the elevation angle can be precisely controlled. We outline the analysis of this technique, known as elevation-scan backscatter sounding. The relevant parameter estimation problem is studied using a Bayesian approach. We report on an experiment using the Losquet Island radar to illustrate this method. The performance is compared to ionosonde data. This technique provides a method of teledetection of the bottomside F-region electron density profile hundreds of km from the radar site: however, further development is needed to provide increased reliability of the estimates.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号