the fact that most of high-accuracy positioning and distributed timing services, including safety-critical operations, rely on Global Navigation Satellite Systems (GNSS) has raised the concern of possible denial-of-se...
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the fact that most of high-accuracy positioning and distributed timing services, including safety-critical operations, rely on Global Navigation Satellite Systems (GNSS) has raised the concern of possible denial-of-service situations. Complementary to time- and frequency-domain mitigation techniques, it is well known that antenna-array based receivers can benefit from spatial domain processing and effectively mitigate unintentional and intentional Radio Frequency Interferences (RFIs). In this work, we propose a software-based GNSS receiver architecture that implements a real-time, array-based signal acquisition algorithm based on the Generalized Likelihood Ratio Test, combined with a null-steering spatial filter for signal tracking, showing its RFI rejection capabilities.
the security index problem for false data injection attacks on power systems is considered. In particular, the problem is to find the minimum cost set of bus injection meters and line flow meters that an attacker can ...
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the security index problem for false data injection attacks on power systems is considered. In particular, the problem is to find the minimum cost set of bus injection meters and line flow meters that an attacker can seize so as to execute a false data injection. A polynomial-time algorithm is provided to solve this problem in certain settings, based on the principle of max-flow min-cut. the security index problem is shown to be equivalent to a min-cut problem, and that this problem can be solved using a generalization of the classic max-flow min-cut algorithm in which flows are successively augmented until doing so is no longer possible.
In the process of oil and gas exploitation, the formation sand is carried into the surface pipeline, which damages the pipe wall, elbow, pump valve and other conveying equipment. Withthe increase of pipeline service ...
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In this work, we propose a distributed power control algorithm able to capture the tradeoff between detection capabilities and power consumption for a radar sensor network. this is achieved by modeling the radar senso...
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In this work, we propose a distributed power control algorithm able to capture the tradeoff between detection capabilities and power consumption for a radar sensor network. this is achieved by modeling the radar sensors as rational agents engaging in a noncooperative game in which the detection threshold and the transmit power are properly designed according to the Nash equilibrium solution. An iterative algorithm based on a best-response dynamics is proposed to achieve the equilibrium point and its performance is compared to that achieved by a uniform power allocation.
In this work we present a blind approach based on space-time adaptive principle component analysis using an antenna array and a compression method based on canonical components in order to mitigate multipath for Globa...
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In this work we present a blind approach based on space-time adaptive principle component analysis using an antenna array and a compression method based on canonical components in order to mitigate multipath for Global Navigation Satellite Systems (GNSS). First, pre-processing algorithms are used to separate (decorrelate) the different sources in the compressed space-time eigenspace and then the time-delay estimation is performed with a simple interpolation scheme in the compressed time domain. the proposed algorithm is capable of separating highly correlated and even coherent signals and approaches the respective Cramer-Rao lower bound (CRLB) for time-delay estimation in the compressed time domain.
A new family of methods, named 2q-ORBIT (q > 1), is proposed in this paper in order to blindly identify potentially underdetermined mixtures of statistically independent sources. these methods are based on the cano...
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A new family of methods, named 2q-ORBIT (q > 1), is proposed in this paper in order to blindly identify potentially underdetermined mixtures of statistically independent sources. these methods are based on the canonical decomposition of q-th order (q ges 2) cumulants. the latter decomposition is brought back to the decomposition of a third order array whose one loading matrix is unitary. Such a decomposition is then computed by alterning and repeating two schemes until convergence: the first one consists in solving a Procrustes problem while the second one needs to compute the best rank-1 approximation of several q-th order arrays. Computer results show a good efficiency of the proposed methods with respect to classical cumulant-based algorithms especially in the underdetermined case.
the advent of large-scale radio-interferometers mandates the development of new analysis methods that can tackle instrumental effects such as antenna baseline non-coplanarity. In particular, blind source separation (B...
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the advent of large-scale radio-interferometers mandates the development of new analysis methods that can tackle instrumental effects such as antenna baseline non-coplanarity. In particular, blind source separation (BSS) methods, which are one of the main analytical tools for extracting valuable physical information from the multispectral data provided by radio-interferometers, must be adapted. To that end, we intro-duce a joint deconvolution and blind source separation (DBSS) algorithm called wGMCA, allowing the analysis of non-coplanar interferometric data in radio-astronomy.
In this paper, we address the problem of devising a Quality of Experience (QoE) aware flight plan for UAV mounted Base Station within heterogeneous networks. Specifically, we propose a QoE aware flight planning algori...
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In this paper, we address the problem of devising a Quality of Experience (QoE) aware flight plan for UAV mounted Base Station within heterogeneous networks. Specifically, we propose a QoE aware flight planning algorithm leveraging the well established Q-learning approach and introducing a reward related to relevant QoE metrics. Numerical simulation results show the effectiveness of the QoE-aware learning algorithm to devise a flight path such that the UAVs mounted Base Station actually improves the QoE of the heterogeneous network users.
A new sensor interface for detecting notes in the musical audio signals is proposed. Our sensor interface is able to transform acoustic pressure, caused by a sound wave of polyphonic piano music, into a musical score,...
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Adaptive beamformers operating in snapshot deficient situations often estimate regularization parameters such as the diagonal loading level or the signal subspace dimension. We propose a new beamformer that avoids thi...
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Adaptive beamformers operating in snapshot deficient situations often estimate regularization parameters such as the diagonal loading level or the signal subspace dimension. We propose a new beamformer that avoids this problem by computing its array weights as a mixture of the array weights for a set of beamformers. the new beamformer's average output power asymptotically approaches the best performance of any of the beamformers in the set. Applying this technique to the Dominant Mode Rejection (DMR) beamformer obviates the need to estimate the dominant signal subspace dimension. An example simulation of a complicated passive sonar scenario illustrates that the blended beamformer's performance rivals the performance of the best fixed subspace DMR beamformer, and may outperform all of them in nonstationary environments.
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