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Localization, tracking, and imaging of targets in wireless sensor networks: An invited review
Wireless sensor networks (WSNs) have shown many attractive features in a lot of real-world
applications that motivate their rapid and wide diffusion. One of the most challenging topics …
applications that motivate their rapid and wide diffusion. One of the most challenging topics …
A theoretical foundation of network localization and navigation
Network localization and navigation (NLN) is a promising paradigm, in which mobile nodes
exploit spatiotemporal cooperation, to provide reliable location information for a diverse …
exploit spatiotemporal cooperation, to provide reliable location information for a diverse …
Message passing algorithms for scalable multitarget tracking
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 …
applications in fields such as autonomous driving, indoor localization, robotic networks, and …
Soft information for localization-of-things
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 …
era for Localization-of-Things. This paper first reviews the classical localization techniques …
Local-bearing-based prescribed-time distributed localization of multiagent systems with noisy measurement
This work investigates stability and localizability of local-bearing-based multiagent systems
without common orientation in the presence of measurement noise, which are more general …
without common orientation in the presence of measurement noise, which are more general …
ADD-OPT: Accelerated distributed directed optimization
In this paper, we consider distributed optimization problems where the goal is to minimize a
sum of objective functions over a multiagent network. We focus on the case when the …
sum of objective functions over a multiagent network. We focus on the case when the …
A machine learning approach to ranging error mitigation for UWB localization
Location-awareness is becoming increasingly important in wireless networks. Indoor
localization can be enabled through wideband or ultra-wide bandwidth (UWB) transmission …
localization can be enabled through wideband or ultra-wide bandwidth (UWB) transmission …
Bias reduction for an explicit solution of source localization using TDOA
KC Ho - IEEE Transactions on Signal Processing, 2012 - ieeexplore.ieee.org
<? Pub Dtl=""?> This paper proposes two methods to reduce the bias of the well-known
algebraic explicit solution (Chan and Ho,“A simple and efficient estimator for hyperbolic …
algebraic explicit solution (Chan and Ho,“A simple and efficient estimator for hyperbolic …
Linear convergence in optimization over directed graphs with row-stochastic matrices
This paper considers a distributed optimization problem over a multiagent network, in which
the objective function is a sum of individual cost functions at the agents. We focus on the …
the objective function is a sum of individual cost functions at the agents. We focus on the …
DEXTRA: A fast algorithm for optimization over directed graphs
This paper develops a fast distributed algorithm, termed DEXTRA, to solve the optimization
problem when n agents reach agreement and collaboratively minimize the sum of their local …
problem when n agents reach agreement and collaboratively minimize the sum of their local …