TY - GEN
T1 - Joint localization and cooperative detection in location-aware wireless networks in the presence of ranging outliers
AU - Xiong, Yifeng
AU - Wu, Nan
AU - Wang, Hua
AU - Kuang, Jingming
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/9
Y1 - 2016/8/9
N2 - Location-aware wireless networks can provide precise location information in harsh environments only when all anchors are well-functioning. In this paper, we propose a distributed, robust TOA-based localization approach based on the Expectation-Maximization (EM) algorithm, which enables the agents to detect the malfunctioning anchors cooperatively while localizing themselves. Closed-form solution is obtained by using Taylor approximation. Moreover, performance limit is analyzed using Cramér-Rao lower bound (CRLB), which reveals that cooperative outlier detection brings theoretical localization performance gain. Simulation results show that the proposed method attains the performance limit with a significantly lower computational cost compared with the existing algorithms.
AB - Location-aware wireless networks can provide precise location information in harsh environments only when all anchors are well-functioning. In this paper, we propose a distributed, robust TOA-based localization approach based on the Expectation-Maximization (EM) algorithm, which enables the agents to detect the malfunctioning anchors cooperatively while localizing themselves. Closed-form solution is obtained by using Taylor approximation. Moreover, performance limit is analyzed using Cramér-Rao lower bound (CRLB), which reveals that cooperative outlier detection brings theoretical localization performance gain. Simulation results show that the proposed method attains the performance limit with a significantly lower computational cost compared with the existing algorithms.
KW - Cramér-Rao lower bound (CRLB)
KW - location-aware wireless network
KW - ranging outlier
UR - https://www.scopus.com/pages/publications/84984611691
U2 - 10.1109/SPAWC.2016.7536781
DO - 10.1109/SPAWC.2016.7536781
M3 - Conference contribution
AN - SCOPUS:84984611691
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
BT - SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016
Y2 - 3 July 2016 through 6 July 2016
ER -