DocumentCode
1785990
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
fYear
2014
fDate
20-22 May 2014
Firstpage
1706
Lastpage
1711
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
Conference_Location
Tehran
Type
conf
DOI
10.1109/IranianCEE.2014.6999813
Filename
6999813
Link To Document