DocumentCode
632070
Title
A new pseudolinear solution to bearing-only tracking
Author
Hejazi, F. ; Khalili, M.M. ; Norouzi, Yaser ; Nayebi, Mohammad Mahdi
Author_Institution
Electr. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran
fYear
2013
fDate
April 29 2013-May 3 2013
Firstpage
1
Lastpage
4
Abstract
The main focus of this paper is on the estimation of target motion parameters using bearing measurements. Here, based on a linearization of measurements, a recursive least squares (RLS) solution is developed. The performance of the proposed method is compared to PLE which uses the same approach in measurement linearization. Simulation results show the excellence of the proposed method over the PLE, and RLS results are in vicinity of the CRLB.
Keywords
adaptive filters; motion estimation; parameter estimation; statistical analysis; target tracking; Cramer-Rao lower bound; bearing measurements; bearing-only tracking; measurement linearization; position parameter estimation; pseudolinear solution; recursive least squares; target motion parameter estimation; Equations; Estimation; Mathematical model; Measurement uncertainty; Position measurement; Sensors; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference (RADAR), 2013 IEEE
Conference_Location
Ottawa, ON
ISSN
1097-5659
Print_ISBN
978-1-4673-5792-0
Type
conf
DOI
10.1109/RADAR.2013.6586099
Filename
6586099
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