TY - GEN
T1 - TDOA based geolocation using IRLS algorithm
AU - Lee, Kyunghyun
AU - Kwon, Hyungkwan
AU - You, Kwanho
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - The geolocation method using the wireless signal processing system is widely used in many industrial areas. The time difference of arrival (TDOA) method is one of the most commonly used geolocation methods. The TDOA signal based geolocation system can estimate the position of a mobile object by using at least three base stations in two dimensional space. In geolocation problem, the precise estimation of mobile's position is the most significant issue. The measurement noise that is contained in measured TDOA data causes the estimation inaccuracy in a mobile geolocation. In this paper, the objective function that represents the scalar error of position estimation is formulated using the concept of L-norm approximation. Also we suggest the iterative reweighted least square (IRLS) scheme for minimizing of the objective function. The optimal solution can be obtained using the limited measurement data through the reweighted iteration process of the IRLS scheme.
AB - The geolocation method using the wireless signal processing system is widely used in many industrial areas. The time difference of arrival (TDOA) method is one of the most commonly used geolocation methods. The TDOA signal based geolocation system can estimate the position of a mobile object by using at least three base stations in two dimensional space. In geolocation problem, the precise estimation of mobile's position is the most significant issue. The measurement noise that is contained in measured TDOA data causes the estimation inaccuracy in a mobile geolocation. In this paper, the objective function that represents the scalar error of position estimation is formulated using the concept of L-norm approximation. Also we suggest the iterative reweighted least square (IRLS) scheme for minimizing of the objective function. The optimal solution can be obtained using the limited measurement data through the reweighted iteration process of the IRLS scheme.
KW - geolocation
KW - iterated reweighted least square
KW - obtimization method
KW - time difference of arrival
UR - https://www.scopus.com/pages/publications/85047513431
U2 - 10.1109/ICIIBMS.2017.8279746
DO - 10.1109/ICIIBMS.2017.8279746
M3 - Conference contribution
AN - SCOPUS:85047513431
T3 - ICIIBMS 2017 - 2nd International Conference on Intelligent Informatics and Biomedical Sciences
SP - 92
EP - 95
BT - ICIIBMS 2017 - 2nd International Conference on Intelligent Informatics and Biomedical Sciences
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2017
Y2 - 24 November 2017 through 26 November 2017
ER -