This paper proposes a moving source localization method that combines TDOA, FDOA and doppler rate measurements. First, the observation equations are linearized by introducing nuisance variables and an initial solution of all the variables is acquired using the weighted least squares method. Then, the Taylor expression and gradient method is applied to eliminate the correlation between the elements in the initial solution and obtain the final estimation of the source position and velocity. The proposed method achieves CRLB derived using TDOA, FDOA and doppler rate and is much more accurate than the conventional TDOA/FDOA based method. In addition, it can avoid the rank-deficiency problem and is more robust than the conventional method. Simulations are conducted to examine the algorithm's performance and compare it with conventional TDOA/FDOA based method.
Dexiu HU
Tsinghua University,Department of ZhengZhou Information Technology Institute
Zhen HUANG
Tsinghua University
Xi CHEN
Tsinghua University
Jianhua LU
Tsinghua University
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Dexiu HU, Zhen HUANG, Xi CHEN, Jianhua LU, "A Moving Source Localization Method Using TDOA, FDOA and Doppler Rate Measurements" in IEICE TRANSACTIONS on Communications,
vol. E99-B, no. 3, pp. 758-766, March 2016, doi: 10.1587/transcom.2015EBP3355.
Abstract: This paper proposes a moving source localization method that combines TDOA, FDOA and doppler rate measurements. First, the observation equations are linearized by introducing nuisance variables and an initial solution of all the variables is acquired using the weighted least squares method. Then, the Taylor expression and gradient method is applied to eliminate the correlation between the elements in the initial solution and obtain the final estimation of the source position and velocity. The proposed method achieves CRLB derived using TDOA, FDOA and doppler rate and is much more accurate than the conventional TDOA/FDOA based method. In addition, it can avoid the rank-deficiency problem and is more robust than the conventional method. Simulations are conducted to examine the algorithm's performance and compare it with conventional TDOA/FDOA based method.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.2015EBP3355/_p
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@ARTICLE{e99-b_3_758,
author={Dexiu HU, Zhen HUANG, Xi CHEN, Jianhua LU, },
journal={IEICE TRANSACTIONS on Communications},
title={A Moving Source Localization Method Using TDOA, FDOA and Doppler Rate Measurements},
year={2016},
volume={E99-B},
number={3},
pages={758-766},
abstract={This paper proposes a moving source localization method that combines TDOA, FDOA and doppler rate measurements. First, the observation equations are linearized by introducing nuisance variables and an initial solution of all the variables is acquired using the weighted least squares method. Then, the Taylor expression and gradient method is applied to eliminate the correlation between the elements in the initial solution and obtain the final estimation of the source position and velocity. The proposed method achieves CRLB derived using TDOA, FDOA and doppler rate and is much more accurate than the conventional TDOA/FDOA based method. In addition, it can avoid the rank-deficiency problem and is more robust than the conventional method. Simulations are conducted to examine the algorithm's performance and compare it with conventional TDOA/FDOA based method.},
keywords={},
doi={10.1587/transcom.2015EBP3355},
ISSN={1745-1345},
month={March},}
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TY - JOUR
TI - A Moving Source Localization Method Using TDOA, FDOA and Doppler Rate Measurements
T2 - IEICE TRANSACTIONS on Communications
SP - 758
EP - 766
AU - Dexiu HU
AU - Zhen HUANG
AU - Xi CHEN
AU - Jianhua LU
PY - 2016
DO - 10.1587/transcom.2015EBP3355
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2016
AB - This paper proposes a moving source localization method that combines TDOA, FDOA and doppler rate measurements. First, the observation equations are linearized by introducing nuisance variables and an initial solution of all the variables is acquired using the weighted least squares method. Then, the Taylor expression and gradient method is applied to eliminate the correlation between the elements in the initial solution and obtain the final estimation of the source position and velocity. The proposed method achieves CRLB derived using TDOA, FDOA and doppler rate and is much more accurate than the conventional TDOA/FDOA based method. In addition, it can avoid the rank-deficiency problem and is more robust than the conventional method. Simulations are conducted to examine the algorithm's performance and compare it with conventional TDOA/FDOA based method.
ER -