TY - GEN
T1 - Target localization based on weighted total least squares in underwater acoustic networks
AU - Wang, Ling
AU - Shen, Xiaohong
AU - Liu, Xi
AU - Hua, Fei
AU - Wang, Haiyan
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - Most existed target localization methods in underwater sensor networks assume that the locations of sensor nodes are accurate as references to infer target location. However, in practice especially in underwater acoustic networks, the self-localization errors are inevitable. In this paper, considering the presence of both self-localization errors and measurements noises, a target localization model using time difference of arrival is constructed and then the localization problem is formulated. In order to solve the problem, we propose a TDOA target localization algorithm based on weighted total least squares in an iterative fashion. The proposed model takes into account the prior information of measurement noise variance and self-localization error variance which improve the performance. Simulations are conducted to validate the effectiveness of the proposed method. The results show that the proposed WTLS-based target localization method has superior performance compared with the existed method.
AB - Most existed target localization methods in underwater sensor networks assume that the locations of sensor nodes are accurate as references to infer target location. However, in practice especially in underwater acoustic networks, the self-localization errors are inevitable. In this paper, considering the presence of both self-localization errors and measurements noises, a target localization model using time difference of arrival is constructed and then the localization problem is formulated. In order to solve the problem, we propose a TDOA target localization algorithm based on weighted total least squares in an iterative fashion. The proposed model takes into account the prior information of measurement noise variance and self-localization error variance which improve the performance. Simulations are conducted to validate the effectiveness of the proposed method. The results show that the proposed WTLS-based target localization method has superior performance compared with the existed method.
KW - Target localization
KW - TDOA
KW - Underwater acoustic sensor network
KW - Weighted total least squares
UR - http://www.scopus.com/inward/record.url?scp=85078891070&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC46631.2019.8960778
DO - 10.1109/ICSPCC46631.2019.8960778
M3 - 会议稿件
AN - SCOPUS:85078891070
T3 - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
BT - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
Y2 - 20 September 2019 through 22 September 2019
ER -