Title :
An approach to tracking a 3D-target with 2D-radar
Author :
Ming-Jiu, Gai ; Xiao, Yi ; You, He ; Bao, Shi
Author_Institution :
Res. Inst. of Appl. Mathematics, Naval Aeronaut. Eng. Inst., Yantai, China
Abstract :
Tracking 3D-targets with a 2D-radar is a significant and challenging problem. Motivated by the range-parameterized EKF (RPEKF) algorithm used in the problem of bearing-only tracking, we present a practical solution to solve this problem in this article, i.e., height-parameterized EKF (HPEKF). This method could reduce the fuzzy phenomenon in height information of the target. So we can track 3D-targets with a single 2D-radar in an effective way under some conditions.
Keywords :
Kalman filters; filtering theory; radar signal processing; radar tracking; state estimation; target tracking; 2D-radar; 3D-target tracking; extended Kalman filtering; fuzzy phenomenon; range-parameterized algorithm; state estimation; Aerospace engineering; Covariance matrix; Gaussian noise; Helium; Information filtering; Information filters; Kalman filters; Mathematics; State estimation; Target tracking;
Conference_Titel :
Radar Conference, 2005 IEEE International
Print_ISBN :
0-7803-8881-X
DOI :
10.1109/RADAR.2005.1435928
