Title :
Least-squares estimation techniques in stationary bearings-only target localization
Author :
Ahmadian, A. ; Pezeshk, Amir M.
Author_Institution :
Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Abstract :
A complete review of the Least Square (LS) estimation techniques, in stationary position finding using bearing measurements is presented. Equations are presented/ derived in various ways to estimate the target position as well as the sensor bearing bias. Simulation results are compared in a variety of bearing random error and bias as well as different geometries to help the designer decide on an appropriate algorithm.
Keywords :
estimation theory; least squares approximations; position measurement; radionavigation; sensors; LS estimation techniques; bearing measurements; bearing random error; least-squares estimation techniques; sensor bearing bias; stationary bearings-only target localization; stationary position finding; target position; Approximation algorithms; Equations; Kalman filters; Least squares approximations; Mathematical model; Maximum likelihood estimation; bearing; bias; path; position;
Conference_Titel :
Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
Conference_Location :
Tehran
DOI :
10.1109/IranianCEE.2014.6999813
