This paper proposes a two-dimensonal positioning method based on a hidden Markov
model map-matching scheme. The states of the hidden Markov model are generated by …

In this article, we introduce a positioning system developed for two-and three-dimensional
motion tracking. The system is based on a recursive Bayesian estimator with a dynamic …

A prerequisite for a position measurement system is knowledge of anchor positions. In this
paper, a local anchor-positioning method based on rotational time-difference-of-arrival …

Indoor Positioning Systems (IPSs) are used to locate mobile devices in indoor environments.
Model-based IPSs have the advantage of not having an exhausting training and signal …

A nonparametric fusion method for extracting accurate distance measurements from low-
quality sensors is proposed. The method applies to sensors with error functions that are …

Indoor positioning based on time of arrival (TOA) can be a huge challenge. The complexity
and uncertainty of data association (DA) due to the multipath effect and the visibility of …

Multipath propagation greatly affects the accuracy of Time-of-Arrival (ToA)-based indoor
positioning when line-of-sight (LOS) signals are only used. In this article, we present a novel …

Nowadays, smart mobile devices include more and more sensors on board, such as motion
sensors (accelerometer, gyroscope, magnetometer), wireless signal strength indicators …

Localization as a technique to solve the complex and challenging problems besetting line-of-
sight (LOS) and non-line-of-sight (NLOS) transmissions has recently attracted considerable …

Target positioning and tracking become a very challenging topic for indoor applications. To
improve the accuracy of indoor position tracking, it is useful to acquire map descriptions of …