A TRACKING ALGORITHM FOR GNSS REFLECTED SIGNALS ON SEA SURFACE

被引:1
作者
Tay, Sarab [1 ]
Coatanhay, Arnaud [2 ]
Maussang, Frederic [1 ]
Garello, Rene [1 ]
机构
[1] UeB, Inst Telecom Telecom Bretagne, CNRS, Lab STICC CID, F-29238 Brest 3, France
[2] ENSIETA, F-29806 Brest 9, France
来源
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2010年
关键词
GPS Signals; Moving Targets Tracking; Kalman Filtering; Doppler Delay Map;
D O I
10.1109/IGARSS.2010.5653546
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The observation of the ocean surface using electromagnetic sources of opportunity (GNSS signals for instance) has been a green research topic for several years. The Global Navigation Satellite System (GNSS) presents a powerful and useful technology for remote sensing, ocean surface monitoring and oceanography. Many experiments have been conducted to show the efficiency of the Global Positioning System (GPS) in applications such as ocean surface altimetry, wave height, surface current measurements, and current direction estimation [1]. Considering the GPS link as a passive sensor for ocean monitoring, we study in this paper the possibility of tracking GPS signal reflection footprints on the sea surface to improve the acquisition and the extraction of this signal. As an analogy to the classical problem of moving targets Radar tracking, we develop a tracking algorithm based on Kalman filtering.
引用
收藏
页码:3821 / 3824
页数:4
相关论文
共 9 条
[1]  
[Anonymous], 2004, Beyond the Kalman Filter: Particle Filters for Tracking Applications
[2]  
Armatys M., 2000, P NAT TECHN M I NAV
[3]  
BOERS Y, 2004, IEE P RAD SON NAV DE, V151
[4]  
COATANHAY A, 2008, P PASS 08 HYER FRANC
[5]  
DAVEY SJ, EURASIP J ADV SIGNAL, V2008
[6]  
Fortmann T. E., 1988, MATH SCI ENG, V179
[7]  
KOMJATHY A, 2001, P ION NAT M LONG BEA
[8]  
RUFFINI G, 2006, IEEE GEOSCIENCE MAR
[9]  
Tay S., 2009, P IEEE OC 09 BREM GE