60 citations · 166 across the 14 of their papers we have counts for
6 papers · 1 filter
Robust time-of-arrival localization via ADMM
Wenxin Xiong, Christian Schindelhauer, Hing Cheung So
This article considers the problem of source localization (SL) using possibly unreliable time-of-arrival (TOA) based range measurements. Adopting the strategy of statistical robust…
Globally Optimized TDOA High Frequency Source Localization Based on Quasi-Parabolic Ionosphere Modeling and Collaborative Gradient Projection
Wenxin Xiong, Christian Schindelhauer, Hing Cheung So
We investigate the problem of high frequency (HF) source localization using the time-difference-of-arrival (TDOA) observations of ionosphere-refracted radio rays based on quasi-par…
Two Efficient and Easy-to-Use NLOS Mitigation Solutions to Indoor 3-D AOA-Based Localization
Wenxin Xiong, Joan Bordoy, Andrea Gabbrielli +6
This paper proposes two efficient and easy-to-use error mitigation solutions to the problem of three-dimensional (3-D) angle-of-arrival (AOA) source localization in the mixed line-…
Neurodynamic TDOA localization with NLOS mitigation via maximum correntropy criterion
Wenxin Xiong, Christian Schindelhauer, Hing Cheung So +2
In this paper, we exploit the maximum correntropy criterion (MCC) to robustify the traditional time-difference-of-arrival (TDOA) location estimator in the presence of non-line-of-s…
Maximum correntropy criterion for robust TOA-based localization in NLOS environments
Wenxin Xiong, Christian Schindelhauer, Hing Cheung So +1
We investigate the problem of time-of-arrival (TOA) based localization under possible non-line-of-sight (NLOS) propagation conditions. To robustify the squared-range-based location…
TDOA-based localization with NLOS mitigation via robust model transformation and neurodynamic optimization
Wenxin Xiong, Christian Schindelhauer, Hing Cheung So +3
This paper revisits the problem of locating a signal-emitting source from time-difference-of-arrival (TDOA) measurements under non-line-of-sight (NLOS) propagation. Many currently…