Situation-aware technologies enabled by multitarget tracking will lead to new services and
applications in fields such as autonomous driving, indoor localization, robotic networks, and …

Location awareness is vital for emerging Internet-of-Things applications and opens a new
era for Localization-of-Things. This paper first reviews the classical localization techniques …

In this paper, we consider the problem of sensor selection for parameter estimation with
correlated measurement noise. We seek optimal sensor activations by formulating an …

In this paper, sensor selection problems for target tracking in large sensor networks with
linear equality or inequality constraints are considered. First, we derive an equivalent …

Localization using the time-of-arrival (ToA) of a wideband signal has the potential to achieve
high accuracy, thereby making it a promising choice for a variety of applications. However, a …

In this paper, an overview of recent developments in received-signal-strength (RSS)-based
localization in wireless sensor networks is presented. Several important practical issues and …

In this article, a direct target localization algorithm with quantized measurements for
noncoherent multiple-input–multiple-output (MIMO) systems is proposed. In this system …

The particle filtering algorithm was introduced in the 1990s as a numerical solution to the
Bayesian estimation problem for nonlinear and non-Gaussian systems and has been …

We consider the problem of finding optimal time-periodic sensor schedules for estimating
the state of discrete-time dynamical systems. We assume that multiple sensors have been …

Network navigation is a promising paradigm for providing location awareness in wireless
environments, where nodes estimate their locations based on sensor measurements and …