Title :
A quadrant-based location tracking method
Author :
Wan, Q. ; Yuan, J. ; Peng, Y.N. ; Long, K.P.
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
In the problem of location tracking based on the range measurement from at least three sensors, the nonlinear measurement equations are often linearized locally about the true position. Because the high-order terms are neglected, the approximation error is inevitably introduced into the result of location tracking. In this paper, a novel quadrant linearization method is proposed to overcome this drawback. Unlike the rectangular coordinate system, which has only four quadrants, the area coordinate system has seven quadrants. Using this enhanced quadrant information and the linear relationship between the above two coordinate systems, the exactly linear measurement equations replace the nonlinear ones and improve the position estimate.
Keywords :
Kalman filters; error analysis; linearisation techniques; nonlinear equations; parameter estimation; target tracking; Kalman filter; approximation error; area coordinate system; nonlinear measurement equation; position estimation; quadrant-based location tracking method; Australia; Coordinate measuring machines; Engines; Filters; Jacobian matrices; Nonlinear equations; Position measurement; Q measurement; Radar tracking; Taylor series;
Conference_Titel :
Radar Conference, 2003. Proceedings of the 2003 IEEE
Print_ISBN :
0-7803-7920-9
DOI :
10.1109/NRC.2003.1203425