We consider distributed state estimation in a wireless sensor network without a fusion
center. Each sensor performs a global estimation task-based on the past and current …

Noncooperative game theory is a branch of game theory for the resolution of conflicts among
interacting decision makers (called players), each behaving selfishly to optimize his own …

This paper studies the problem of distributed estimation for a class of discrete-time nonlinear
non-Gaussian systems in a not fully connected sensor network environment. The non …

Target tracking is investigated using particle filtering of data collected by distributed sensors.
In lieu of a fusion center, local measurements must be disseminated across the network for …

This paper introduces new cooperative particle filter algorithms for tracking emitters using
received-signal strength (RSS) measurements. In the studied scenario, multiple RSS …

Motivated by non-linear, non-Gaussian, distributed multi-sensor/agent navigation and
tracking applications, we propose a multi-rate consensus/fusion based framework for …

This paper introduces a distributed auxiliary particle filter for target tracking in sensor
networks. Nodes maintain a shared particle filter by coming to a consensus about the …

We propose an extended recursive Cramér-Rao lower bound (ER-CRLB) method as a
fundamental tool to analyze the performance of wireless indoor localization systems. The ER …

We propose a distributed implementation of the Gaussian particle filter (GPF) for use in a
wireless sensor network. Each sensor runs a local GPF that computes a global state …

In these notes, we introduce particle filtering as a recursive importance sampling method
that approximates the minimum-mean-square-error (MMSE) estimate of a sequence of …