This paper studies the localization problem using noisy range-difference measurements, or
equivalently time difference of arrival (TDOA) measurements. There is a reference sensor …

We investigate a localization problem using time-difference-of-arrival measurements with
unknown and bounded measurement errors. Different from most existing algorithms, we …

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 …

This paper revisits the problem of range measurement based localization of a signal source
or a sensor. The major geometric difficulty of the problem comes from the non-convex …

We consider the range-based localization problem, which involves estimating an object's
position by using sensors, hoping that as the number of sensors increases, the estimate …

This paper focuses on the sensor subset optimization problem in time difference of arrival
(TDOA) passive localization scenario. We seek for the best sensor combination by …

Localization is particularly important in wireless networks. With the rapid development of the
Internet of Things and mobile Internet, mobility is becoming an increasingly growing topic. In …

We investigate the existence question for maximum-likelihood estimation for a time-of-arrival-
based localization problem where the signal transmission time is unknown. We have …

This paper develops a unified solution for time-difference-of-arrival (TDOA) localization in
the presence of sensor position errors. This technique starts with maximum likelihood …

A popular approach to estimate a source location using time difference of arrival (TDOA)
measurements is to construct an objective function based on the maximum likelihood (ML) …