TY - GEN
T1 - TDOA/AOA based geolocation using Newton method under NLOS environment
AU - Lee, Kyunghyun
AU - Oh, Jungkeun
AU - You, Kwanho
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/2
Y1 - 2016/8/2
N2 - Geolocation of a mobile is a significant problem in many industrial fields. Among many schemes of geolocation, Time Difference of Arrival (TDOA) and Angle of Arrival (AOA) are widely used for estimation of a mobile location in past few years. In both TDOA and AOA based geolocation, there are two kinds of factors which deteriorate the accuracy of location estimation: Nonline-of-Sight (NLOS) noise and measurement noise. In this paper, Kalman filter based hypothesis test is applied for eliminating NLOS noise contained measurement data. Also, the measurement noise can be compensated through Newton method based optimization scheme using the identified LOS measurement data. Through the proposed hybrid algorithm, the optimized solution of which the estimation error is minimized can be acquired. Simulation results confirm the performance of our proposed scheme.
AB - Geolocation of a mobile is a significant problem in many industrial fields. Among many schemes of geolocation, Time Difference of Arrival (TDOA) and Angle of Arrival (AOA) are widely used for estimation of a mobile location in past few years. In both TDOA and AOA based geolocation, there are two kinds of factors which deteriorate the accuracy of location estimation: Nonline-of-Sight (NLOS) noise and measurement noise. In this paper, Kalman filter based hypothesis test is applied for eliminating NLOS noise contained measurement data. Also, the measurement noise can be compensated through Newton method based optimization scheme using the identified LOS measurement data. Through the proposed hybrid algorithm, the optimized solution of which the estimation error is minimized can be acquired. Simulation results confirm the performance of our proposed scheme.
KW - angle of arrival
KW - error compensation
KW - geolocation
KW - nonline-of-sight noise
KW - time difference of arrival
UR - https://www.scopus.com/pages/publications/84983283087
U2 - 10.1109/ICCCBDA.2016.7529586
DO - 10.1109/ICCCBDA.2016.7529586
M3 - Conference contribution
AN - SCOPUS:84983283087
T3 - Proceedings of 2016 IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2016
SP - 373
EP - 377
BT - Proceedings of 2016 IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2016
Y2 - 5 July 2016 through 7 July 2016
ER -