Add to ORKGWe attempt to maximize the sensitivity of a sensor system, where the system sensitivity is expressed by a goal function formulated in terms of the Fisher information matrix. Given a large set of sensor candidates, we formulate the problem as a sensor selection problem by means of introducing a weight for each sensor candidate. Such a weight corresponds to the fraction of measurements that is performed by a specific sensor and it is allowed to vary continuously, which yields a convex optimization problem
We address the problem of selecting sensors so as to minimize the error in estimating the position o...
We consider the problem of selecting k sensors out of m available (linear) sensors, so that the erro...
Sensor selection is critical for state estimation, control and monitoring of nonlinear processes. Ho...
We attempt to maximize the sensitivity of a sensor system, where the system sensitivity is expressed...
We consider the problem of choosing a set of k sensor measurements, from a set of m possible or pote...
The sensor positions have substantial effect on the accuracy of remote contact-free reconstruction o...
Magnetic tracking is a popular technique that exploits static and low-frequency magnetic fields for ...
We address the following sensor selection problem. We assume that a dynamic system possesses a certa...
Research on localization systems has shifted from focusing mainly on accuracy towards a more cogniti...
Reliable and efficient spectrum sensing through dynamic selection of a subset of spectrum sensors is...
A mathematical framework is introduced for optimization of antenna near-field imaging problems, base...
In this work, we propose a method for finding an optimal, non-uniform, sampling scheme for a general...
In this dissertation, we explore several themes in sensor management with an emphasis on their appli...
We address the problem of selecting sensors so as to minimize the error in estimating the position o...
Abstract—Sensor selection is a crucial aspect in sensor network design. Due to the limitations on th...
We address the problem of selecting sensors so as to minimize the error in estimating the position o...
We consider the problem of selecting k sensors out of m available (linear) sensors, so that the erro...
Sensor selection is critical for state estimation, control and monitoring of nonlinear processes. Ho...
We attempt to maximize the sensitivity of a sensor system, where the system sensitivity is expressed...
We consider the problem of choosing a set of k sensor measurements, from a set of m possible or pote...
The sensor positions have substantial effect on the accuracy of remote contact-free reconstruction o...
Magnetic tracking is a popular technique that exploits static and low-frequency magnetic fields for ...
We address the following sensor selection problem. We assume that a dynamic system possesses a certa...
Research on localization systems has shifted from focusing mainly on accuracy towards a more cogniti...
Reliable and efficient spectrum sensing through dynamic selection of a subset of spectrum sensors is...
A mathematical framework is introduced for optimization of antenna near-field imaging problems, base...
In this work, we propose a method for finding an optimal, non-uniform, sampling scheme for a general...
In this dissertation, we explore several themes in sensor management with an emphasis on their appli...
We address the problem of selecting sensors so as to minimize the error in estimating the position o...
Abstract—Sensor selection is a crucial aspect in sensor network design. Due to the limitations on th...
We address the problem of selecting sensors so as to minimize the error in estimating the position o...
We consider the problem of selecting k sensors out of m available (linear) sensors, so that the erro...
Sensor selection is critical for state estimation, control and monitoring of nonlinear processes. Ho...