DocumentCode
2871936
Title
Bi-station OTH radar locating and tracking using only range and Doppler measurements
Author
Gong-jian, Zhou ; Tian-Jiao, Fu ; Chang-jun, Yu ; Tai-fan, Quan ; Nai-gang, Cui
Author_Institution
Dept. of Electron. Eng., Harbin Inst. Of Technol., Harbin, China
Volume
9
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Azimuthal measurements of the high frequency ground wave over-the-horizon (OTH) radar are either coarse or unavailable in an actual environment. It is very hard for a single station OTH radar to performance effective tracking under that condition. A bi-station OTH radar system is proposed to triangulate target tracks using range and Doppler measurements only. Multi-sensor data association and combining positioning are key issues of this system. This paper focuses on positioning and tracking filter algorithm. The locating and tracking model is established and the extended Kalman filter (EKF) is used to solve the bi-station nonlinear tracking problem. Simulation result shows that EKF can handle this well, and the bi-station OTH radar system can meet or slightly better than the accuracy of the conventional single station OTH radar tracking system with poor bearing resolution.
Keywords
Kalman filters; radar tracking; Doppler measurement; azimuthal measurement; bi-station OTH radar locating; bi-station OTH radar system; bi-station OTH radar tracking; extended Kalman filter; high frequency ground wave over-the-horizon radar; multisensor data association; poor bearing resolution; positioning filter algorithm; tracking filter algorithm; tracking model; Doppler radar; Mathematical model; Radar antennas; Radar measurements; Radar tracking; Target tracking; OTH radar; bi-station tracking; extended Kalman filter; range-finding location;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5623078
Filename
5623078
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