DocumentCode :
2045177
Title :
A joint localization and synchronization technique using time of arrival at multiple antenna receivers
Author :
Yousefi, Siamak ; Xiao-Wen Chang ; Champagne, Benoit
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
fYear :
2013
fDate :
3-6 Nov. 2013
Firstpage :
2017
Lastpage :
2021
Abstract :
In this work, a system scheme is proposed for tracking a radio emitting target moving in two-dimensional space. The localization is based on the use of biased time-of-arrival (TOA) measurements obtained at two asynchronous receivers, each equipped with two closely spaced antennas. By exploiting the multi-antenna configuration and using all the TOA measurements up to current time step, the relative clock bias at each receiver and the target position are jointly estimated by solving a nonlinear least-squares (NLS) problem. To this end, a novel time recursive algorithm is proposed which fully takes advantage of the problem structure to achieve computational efficiency while using orthogonal transformations to ensure numerical reliability. The Cramer-Rao lower bound (CRLB) is also derived as a lower bound on the error in estimating the position and biases. Simulation results show that the mean-squared error (MSE) of the proposed method approaches the CRLB closely.
Keywords :
Jacobian matrices; least squares approximations; mean square error methods; receivers; receiving antennas; synchronisation; target tracking; time-of-arrival estimation; CRLB; Cramer-Rao lower bound; MSE; NLS problem; TOA measurements; asynchronous receivers; biased time-of-arrival measurements; closely spaced antennas; joint localiztion and synchronization technique; mean-squared error; multiantenna configuration; multiple antenna receivers; nonlinear least-squares problem; novel time recursive algorithm; numerical reliability; orthogonal transformations; radio emitting target tracking; relative clock bias; target position; two-dimensional space; Antenna measurements; Clocks; Joints; Receiving antennas; Synchronization; Clock bias estimation; localization; recursive nonlinear least squares; synchronization; time of arrival;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2013 Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4799-2388-5
Type :
conf
DOI :
10.1109/ACSSC.2013.6810660
Filename :
6810660
Link To Document :
بازگشت