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
fDate :
April 29 2013-May 3 2013
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;
Conference_Titel :
Radar Conference (RADAR), 2013 IEEE
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4673-5792-0
DOI :
10.1109/RADAR.2013.6586099
