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In this paper we present optimal power allocation, together with optimal linear signal fusion, considering a passive distributed radar sensor network system. The goal of a passive distributed radar is to obtain a reliable estimation from a source signal, by collecting and combining the individual observations from the network of sensor nodes (SN)s in a fusion center (FC). In this respect, a linear...
Since in emergency zones the communication network has to be rapidly established, the usage of autonomous drones, forming an ad-hoc network, is an interesting alternative. By using the mentioned drones, the main technical challenge to face is the difficulty of powering the drones for a long service time, having in mind that they are not wired to any infrastructure and the batteries are not designed...
The increasing penetration of measurement and communication infrastructures in power grids has led to the development of new applications and use cases in the utility sector, such as demand side management and virtual power plants. The success of such applications, however, depends on a proper interplay of the underlying communication network and the power grid. For this reason, integrated planning...
The censored channel is one of the fundamental channels in information theory, which belongs to the class of non-linear channels. It is modeled by cascading an additive noise channel with a clipping operator. This paper is concerned with the information theoretic capacity of this channel. A necessary and sufficient condition for optimality of the input distribution is derived and it is shown that...
So called hinge functions play an important role in many applications, e.g., deep learning, support vector machines, regression, classification and others. A thorough theory, which explains why some of these applications are so successful for their respective purpose, is still missing. This paper aims at filling a knowledge gap by answering the question of how much information can be conveyed across...
In this paper, we consider one-bit output quantization of an amplitude bounded input-signal subject to arbitrary additive noise. Capacity is then represented in various ways, each demonstrating that finding the optimum quantization threshold q is an extremely difficult problem. For a class of noise distributions, of which a typical representative is the uniform distribution, it is shown that the optimum...
A large-scale roll-out of a communication and measurement infrastructure is an essential prerequisite for more efficient and robust power grids with a high number of renewable energy resources. In this work, we propose an integrated optimization model for the minimum cost design of a wide area measurement system in smart power grids. The planning approaches proposed so far in the literature mostly...
In this work, we propose an optimization model for an integrated minimum-cost planning of a wide area measurement system (WAMS) and its underlying heterogeneous communication network. The integer linear program formulation of the proposed planning approach enables not only a simultaneous optimal placement of phasor data concentrators (PDC) and phasor measurement units (PMU) for the observability of...
In this paper we study a wireless passive sensor network. The sensors are deployed to estimate the true values of multiple active target signals. The sensors forward their observation to a fusion center, which processes the observation of each sensor by a set of fusion rules. One achievement of this paper is proposing an unbiased estimator with minimized variance of errors. To do so, we optimize both...
This paper regards a network of wireless passive sensors, suitable for radar applications. The network observes multiple number of target signals to be estimated. We propose an unbiased estimator whose error is minimized by optimizing both the power allocation at sensor nodes and the fusion coefficients at the fusion center. Since the underlying optimization problems are subject to both the individual...
In this papers we address the optimal power allocation problem in a distributed passive radar sensor network system, where closely located nodes are capable of distributed beamforming. In this setup, the network of sensor nodes is viewed as a combination of node clusters, where each cluster is capable of time synchronization, and coordinated transmission. The goal of the network is to provide a reliable...
In this paper we address the power allocation problem for a system of distributed passive radar sensor network, where the location of the source is relatively constant, aiming at lifetime maximization and power consumption minimization. It is known that for a network in which the source location changes independently at each observation step, a nearly-optimal strategy can be obtained by minimizing...
Power consumption and lifetime are essential features of sensor networks. On the one hand, the power consumption should be as low as possible to enable an energy-aware system. On the other hand, the lifetime should be as long as possible to ensure for a comprehensive coverage. Especially, for application of sensor networks in extreme environments, it is also necessary to achieve high reliability over...
In this paper, we address the optimal power allocation problem for a distributed passive radar system, where occasional node failures are taken into account. The goal of the network is to provide a reliable estimation from a target signal, by collecting and combining the individual observations from the network in a centralized node. In this regard, a minimum mean squared error (MMSE) problem is formulated...
In this paper, we consider a channel which is linear over the interval [0, 1] and is censored to the left by zero and to the right by one. Examples of this channel type are radio frequency amplifiers which amplify only up to certain thresholds. In the baseband, this channel is a model for censoring symbols whenever they exceed given thresholds. One-bit quantization may be seen as an extreme case when...
Power consumption and lifetime are essential features of sensor networks. On the one hand, the power consumption should be as low as possible to enable an energy-aware system. On the other hand, the lifetime should be as long as possible to ensure a comprehensive coverage. Especially, for surveilling security zones, e.g., the frontier between two countries or the terrain of military base stations,...
This paper deals with discrete input one-bit output quantization. A discrete input signal is subject to additive noise and is then quantized to zero or one by comparison with a threshold q. For finitely many fixed support points and fixed threshold q we first determine the mutual information of this channel. The capacity-achieving input distribution is shown to be concentrated on merely two extreme...
In this paper, we address the energy efficiency maximization problem for a distributed passive radar system, with application in signal classification. Two energy efficiency maximization strategies are studied. Firstly, the total power consumption of the network is minimized, while maintaining a required classification quality. We show that the resulting optimization problem has a similar solution...
We investigate the power allocation problem in distributed sensor networks that are used for target object classification. In the classification process, the absence, the presence, or the type of a target object is observed by the sensor nodes independently. Since these local observations are noisy and thus unreliable, they are fused together as a single reliable observation at a fusion center. The...
We investigate the average error probability of data communication over Nakagami fading channels. First, we discuss some new identities and properties of a certain integral representation of the average error probability. Second, we propose novel lower and upper bounds. Both bounds are sharp, and they have a simple closed-form representation. We also demonstrate that the bounds are very precise for...
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