#### Filter Results:

- Full text PDF available (13)

#### Publication Year

2010

2016

- This year (0)
- Last 5 years (8)
- Last 10 years (14)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

- Ondrej Hlinka, Ondrej Sluciak, Franz Hlawatsch, Petar M. Djuric, Markus Rupp
- IEEE Transactions on Signal Processing
- 2012

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 measurements of all sensors-using only local processing and local communications with its neighbors. In this estimation task, the joint (all-sensors) likelihood function (JLF) plays a… (More)

- Ondrej Hlinka, Ondrej Sluciak, Franz Hlawatsch, Petar M. Djuric, Markus Rupp
- 2011 IEEE International Conference on Acoustics…
- 2011

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 estimate. The updating of the particle weights at each sensor uses the joint likelihood function, which is calculated in a distributed way, using only local communications, via the… (More)

- Ondrej Hlinka, Ondrej Sluciak, Franz Hlawatsch, Markus Rupp
- 2014 IEEE International Conference on Acoustics…
- 2014

We propose an iterative extension of the covariance intersection (CI) algorithm for distributed data fusion. Our iterative CI (ICI) algorithm is able to disseminate local information throughout the network. We show that the ICI algorithm converges asymptotically to a consensus across all network nodes. We furthermore apply the ICI algorithm to distributed… (More)

- Ondrej Sluciak, Markus Rupp
- IEEE Signal Processing Letters
- 2013

We present novel distributed algorithms for estimating the number of nodes in a wireless sensor network without any a-priori knowledge or node preferences. The algorithms originate from distributed forms of Gram-Schmidt orthogonalization algorithms where the goal is to distributively find a set of orthogonal vectors. Using concepts from linear algebra, by… (More)

- Ondrej Sluciak, Hana Straková, Markus Rupp, Wilfried N. Gansterer
- ACSCC
- 2012

We propose a novel distributed QR factorization algorithm for orthogonalizing a set of vectors in a wireless sensor network. The algorithm originates from the classical GramSchmidt orthogonalization which we formulate in a distributed way using the dynamic consensus algorithm. In contrast to existing distributed QR factorization algorithms, all elements of… (More)

We propose a distributed method for computing the joint (all-sensors) likelihood function (JLF) in a wireless sensor network. A consensus algorithm is used for a decentralized, iterative calculation of a sufficient statistic that describes an approximation to the JLF. After convergence of the consensus algorithm, the approximate JLF—which epitomizes the… (More)

- Ondrej Sluciak, Ondrej Hlinka, Markus Rupp, Franz Hlawatsch, Petar M. Djuric
- ACSCC
- 2011

We propose a sequential likelihood consensus (SLC) for a distributed, sequential computation of the joint (all-sensors) likelihood function (JLF) in a wireless sensor network. The SLC is based on a novel dynamic consensus algorithm, of which only a single iteration is performed per time step. We demonstrate the application of the SLC in a distributed… (More)

- Ondrej Sluciak, Markus Rupp
- 2011 IEEE International Conference on Acoustics…
- 2011

Many models of wireless sensor networks (WSNs) assume a perfect synchronization along the graph of such network as a simplifying assumption. In our contribution we base our investigations of distributed algorithms solving consensus problems on more realistic, asynchronous networks in which nodes randomly transmit to their neighborhood. Following a linear… (More)

- Ondrej Sluciak, Markus Rupp
- 2012 IEEE Statistical Signal Processing Workshop…
- 2012

In this contribution we present a stronger notion of almost sure convergence for a large class of consensus algorithms including also asynchronous updates. We introduce the concept of the so-called relaxed projection algorithms and show that many consensus algorithms can be interpreted as such relaxed projection updates. It is well known that such… (More)

- Ondrej Sluciak, Thibault Hilaire, Markus Rupp
- 2010 IEEE International Conference on Acoustics…
- 2010

The major contribution of this paper is the presentation of a general unifying description of distributed algorithms allowing to map local, node-based algorithms onto a single global, network-based form. As a first consequence the new description offers to analyze their learning and steady-state behavior by classical methods. A further consequence is the… (More)