Title :
Bearings-only location using nonlinear least squares
Author :
Longbin, MO ; Yaowei, Xu ; Yiyu, ZHOU ; Zhongkang, Sun
Author_Institution :
Inst. of Electron. Eng., Nat. Univ. of Defense Technol., Hunan, China
Abstract :
Bearings-only location is a nonlinear estimation problem. The maximum likelihood estimator (MLE) is usually used to obtain the optimal estimate. The MLE is realized by the Newton-Gauss iteration, which only has a local convergence. In this paper a new instrumental variables estimator is developed
Keywords :
convergence of numerical methods; least squares approximations; radar tracking; target tracking; bearings-only location; convergence; instrumental variables estimator; nonlinear estimation problem; nonlinear least squares; target tracking; Coordinate measuring machines; Equations; Instruments; Least squares approximation; Least squares methods; Maximum likelihood estimation; Measurement errors; Position measurement; Sun; Working environment noise;
Conference_Titel :
Aerospace and Electronics Conference, 1997. NAECON 1997., Proceedings of the IEEE 1997 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-3725-5
DOI :
10.1109/NAECON.1997.622775
