Title :
Instrumental Variable Estimator for 3D Bearings-Only Emitter Localization
Author :
K. Dogancay;G. Ibal
Author_Institution :
School of Electrical and Information Engineering, University of South Australia Mawson Lakes SA 5095, Kutluyil.Dogancay@unisa.edu.au
fDate :
6/27/1905 12:00:00 AM
Abstract :
This paper develops a closed-form three-dimensional passive bearings-only localization algorithm based on the method of instrumental variables. The proposed localization algorithm is shown to attain a significant reduction in bias and root-mean-square error vis-à-vis orthogonal vector and pseudolinear estimators. It also has less computational requirements than a maximum likelihood estimator thanks to involving no iterative computations that are prone to instability problems. Further complexity reduction is shown to be achievable by averaging bearing measurements over finite-length non-overlapping windows. Simulation studies are provided to illustrate the effectiveness of the proposed instrumental variable estimation algorithm in a radar localization application.
Keywords :
"Instruments","Iterative algorithms","Maximum likelihood estimation","Noise measurement","Least squares approximation","Gaussian noise","Computer simulation","Lakes","Computational modeling","Radar applications"
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing Conference, 2005. Proceedings of the 2005 International Conference on
Print_ISBN :
0-7803-9399-6
DOI :
10.1109/ISSNIP.2005.1595557