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
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;
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
DOI :
10.1109/ICIEA.2009.5138922