Abstract—A new distributed algorithm for cooperative esti-mation of a slowly time-varying signal using a wireless sensor network is presented. The estimate in each node is based on a so called consensus algorithm, which weights measurements and estimates of neighboring nodes. The algorithm is therefore scalable with the number of network nodes. It requires only limited information exchange between nodes and computations in each node. The weights are locally optimized based on a minimum variance criterion. Numerical results show that the proposed algorithm exhibits good performance compared to other distributed algorithms proposed in the literature. I
Wireless sensor networks have emerged a few years ago, enabling large scale sensing at low cost. The...
Abstract—Adaptive algorithms based on in-network processing of distributed observations are well-mot...
The paper studies distributed static parameter (vector) estimation in sensor networks with nonlinear...
Abstract — A new distributed algorithm for cooperative estimation of a slowly time-varying signal us...
Abstract—A new distributed estimation algorithm for tracking using a wireless sensor network is pres...
A distributed estimation algorithm for sensor networks is proposed. A noisy time-varying signal is j...
A distributed estimation algorithm for sensor networks is proposed. A noisy time-varying signal is j...
A new distributed estimation algorithm for tracking using a wireless sensor network is presented. We...
Keeping in view, the increasing importance of wireless networks in modern application scenario, ther...
Distributed estimators for sensor networks are discussed. The considered problem is on how to track ...
International audienceThis note presents an efficient distributed approach for computing a spatial a...
We deal with consensus-based online estimation and tracking of (non-) stationary signals using ad ho...
Distributed signal processing algorithms have become a key approach for statistical inference in wir...
This paper studies the distributed estimation problem of sensor networks, in which each node is peri...
Presented at the Workshop on Localized Algorithms and Protocols for Wireless Sensor Networks (LOCALG...
Wireless sensor networks have emerged a few years ago, enabling large scale sensing at low cost. The...
Abstract—Adaptive algorithms based on in-network processing of distributed observations are well-mot...
The paper studies distributed static parameter (vector) estimation in sensor networks with nonlinear...
Abstract — A new distributed algorithm for cooperative estimation of a slowly time-varying signal us...
Abstract—A new distributed estimation algorithm for tracking using a wireless sensor network is pres...
A distributed estimation algorithm for sensor networks is proposed. A noisy time-varying signal is j...
A distributed estimation algorithm for sensor networks is proposed. A noisy time-varying signal is j...
A new distributed estimation algorithm for tracking using a wireless sensor network is presented. We...
Keeping in view, the increasing importance of wireless networks in modern application scenario, ther...
Distributed estimators for sensor networks are discussed. The considered problem is on how to track ...
International audienceThis note presents an efficient distributed approach for computing a spatial a...
We deal with consensus-based online estimation and tracking of (non-) stationary signals using ad ho...
Distributed signal processing algorithms have become a key approach for statistical inference in wir...
This paper studies the distributed estimation problem of sensor networks, in which each node is peri...
Presented at the Workshop on Localized Algorithms and Protocols for Wireless Sensor Networks (LOCALG...
Wireless sensor networks have emerged a few years ago, enabling large scale sensing at low cost. The...
Abstract—Adaptive algorithms based on in-network processing of distributed observations are well-mot...
The paper studies distributed static parameter (vector) estimation in sensor networks with nonlinear...