DocumentCode
2344810
Title
Study on radar data processing algorithm with improved Kalman filter
Author
Xinguo, Zhu ; Jie, Hong ; Wei, Cui
Author_Institution
Radar Res. Lab., Beijing Inst. of Technol., Beijing, China
fYear
2009
fDate
25-27 May 2009
Firstpage
3826
Lastpage
3829
Abstract
A data processing algorithm for the tracking and measurement radar is presented in this paper. The proposed algorithm uses a 3rd order improved Kalman filter to implement federal filter for the range and velocity measurements, which can stably track the range and velocity, and can also accurately estimate the acceleration; on the other hand, the proposed algorithm uses two 2nd order improved Kalman filters with the same structure to implement filters for the elevation angle measurements and the azimuth angle measurements respectively, which can effectively ensure the measurement accuracies of the angle and the angular velocity. The experimental results indicate that the proposed algorithm can attain high accuracy of tracking and measurement for the range and the velocity, and that it also has high tracking accuracy for static, uniform, uniformly accelerated angular motion.
Keywords
Kalman filters; distance measurement; radar signal processing; radar tracking; velocity measurement; Kalman filter; federal filter; radar data processing algorithm; radar tracking; range measurements; velocity measurement; Acceleration; Accelerometers; Angular velocity; Azimuth; Data processing; Filters; Goniometers; Radar measurements; Radar tracking; Velocity measurement; Kalman filter; radar data processing; state noise estimation; tracking and measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4244-2799-4
Electronic_ISBN
978-1-4244-2800-7
Type
conf
DOI
10.1109/ICIEA.2009.5138922
Filename
5138922
Link To Document