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Privacy preserving decentralized power system state estimation with phasor measurement units

Privacy preserving decentralized power system state estimati...

引用

sensor array and multichannel signal processing workshop

作者： Neelabh Kashyap Stefan Werner Yih-Fang Huang Reza Arablouei Dept. of Signal Processing and Acoustics School of Electrical Engineering Finland Dept. of Electrical Engineering University of Notre Dame Notre Dame IN USA Commonwealth Scientific and Industrial Research Organisation Pullenvale QLD Australia

ISBN: (纸本)9781509021048

This paper presents a privacy preserving approach to decentralized state estimation in multi-area power systems. By formulating state estimation as a model-distributed regularized least-squares (MDRLS) problem, we ensure that the state variables and system matrix of each area are hidden from all other areas in order to protect privacy and sensitive information. We present a scheme that solves the primal MDRLS problem using the alternating direction method of multipliers, and a second method that solves the dual problem using a distributed form of the coordinate descent algorithm. Only information related to current measurements on tie-lines linking neighboring areas is exchanged between those areas. The proposed schemes enable the local state estimator in each area to estimate the voltage magnitude and phase angle of each bus in its own control area from phasor measurement units (PMU) without the need for full local PMU-observability. The novelty of the proposed methods is in that they employ the inherently hierarchical architecture of the wide-area monitoring system to perform decentralized state estimation. Our simulation results show that the estimation error of both methods converges to that of the centralized approach.

关键词： Phasor measurement units State estimation Transmission line measurements Current measurement Privacy Power systems Area measurement

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Direction of Arrival Estimation of Harmonic signal Using Single Moving sensor

Direction of Arrival Estimation of Harmonic Signal Using Sin...

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Hioka, Yusuke Kishida, Masako Univ Canterbury Dept Elect & Comp Engn Christchurch 8140 New Zealand

ISBN: (纸本)9781479914814

A signal processing algorithm for estimating the direction of arrival of a harmonic signal using only a single sensor is proposed. The method is based on the recently invented architecture called CAROUSEL, which makes use of the Doppler effect caused by observing signals using the sensor in a circular motion. The proposed method estimates the direction of arrival from the amount of phase shift of a harmonic component caused by the Doppler effect. Simulation using various harmonic signals including synthesised speech phonemes prove the proposed algorithm is able to accurately estimate the direction of arrival of the harmonic signals.

关键词： DOA estimation sensor array harmonics speech CAROUSEL

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Deterministic Blind Identification in Antenna array processing

Deterministic Blind Identification in Antenna Array Processi...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Sahnoun, Souleymen Comon, Pierre CNRS UMR5216 GIPSA Lab F-38402 St Martin Dheres France

ISBN: (纸本)9781479914814

The estimation of directions of arrival is formulated as the decomposition of a 3-way array into a sum of rank-one terms. However, a low-rank tensor approximation does not always exist. We propose an optimization technique based on differentiable angular constraints on the factors, ensuring the existence of the low-rank tensor decomposition. The efficiency of the proposed algorithm is demonstrated via numerical simulations, and compared to Cramer-Rao bounds.

关键词： array processing Antenna arrays decomposition Blind Tensor deterministic Differentiable

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Preprocessing Algorithm for Source Localisation in a Multipath Environment

Preprocessing Algorithm for Source Localisation in a Multipa...

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Venieris, Evangelos Manikas, Athanassios Univ London Imperial Coll Sci Technol & Med Dept Elect & Elect Engn Exhibit Rd London England

ISBN: (纸本)9781479914814

Several methods have been developed which allow the estimation of the location of an existing source with considerable accuracy in the absence of multipaths. However, if, in addition to the Line-of-Sight (LOS) path, non-LOS (NLOS) paths are also present, then all existing localisation algorithms dramatically fail to estimate the location of the source. In this paper, a passive array processing algorithm is proposed, which, if used prior to a localisation approach, suppresses all the multipath contributions in the received signal except for that of the LOS path. The performance of the proposed algorithm is evaluated through computer simulation studies.

关键词： array signal processing localisation multipath spherical wave propagation

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Direction Finding and array Calibration Based on Sparse Reconstruction in Partly Calibrated arrays

Direction Finding and Array Calibration Based on Sparse Reco...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Steffens, Christian Parvazi, Pouyan Pesavento, Marius Tech Univ Darmstadt Commun Syst Grp Darmstadt Germany

ISBN: (纸本)9781479914814

A novel convex optimization problem formulation for source localization using partly calibrated arrays composed of subarrays with unknown displacements is introduced. The proposed formulation is based on sparse reconstruction using a mixed trace- and l(1)-norm minimization and exploits joint sparsity and special structure in the signal model. The new technique is applicable to subarrays of arbitrary topologies and allows the joint estimation of the directions of arrival (DoAs) and the array calibration. As shown by simulations, our new DoA estimation technique outperforms the state of the art method RARE, especially in low number of snapshot and low signal-to-noise ratio regime.

关键词： Partly Calibrated array Direction Finding Sparse Reconstruction Trace-Norm Minimization

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Ultrasonic array Imaging for Immersion Non-Destructive Testing

Ultrasonic Array Imaging for Immersion Non-Destructive Testi...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Moallemi, Nasim Shahbazpanahi, Shahram Univ Ontario Inst Technol Fac Engn & Appl Sci Oshawa ON Canada

ISBN: (纸本)9781479914814

One of the applications of advanced array signal processing is immersion ultrasonic non-destructive testing (NDT), where a solid test sample and an array of transducers are immersed in water, for the purpose of imaging the test sample. To do so, the knowledge of the shape of the upper surface of the test sample is needed. We model the interface between water and the solid as an incoherently spatially distributed reflector. We then develop a covariance fitting based approach to estimate the parameters of the shape of the upper surface of the test sample. With the knowledge of the estimated shape of this surface, we use the same approach to estimate the parameters of the shape of a crack inside the test sample. Numerical simulations are conducted to show the accuracy of the proposed approach.

关键词： test sample ultrasonic arrays Nondestructive Testing array signal processing Transducers

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Strategies for principal component analysis in wireless sensor networks

Strategies for principal component analysis in wireless sens...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Ghadban, Nisrine Honeine, Paul Francis, Clovis Mourad-Chehade, Farah Farah, Joumana Univ Libanaise Fac Genie Beirut Lebanon Univ Technol Troyes CNRS Inst Charles Delaunay Troyes France Holy Spirit Univ Kaslik Fac Engn Telecommun Dept Beirut Lebanon

ISBN: (纸本)9781479914814

This paper deals with the issue of monitoring physical phenomena using wireless sensor networks. It provides principal component analysis for the time series of sensors' measurements. Without the need to compute the sample covariance matrix, we derive several in-network strategies to estimate the principal axis, including noncooperative and diffusion strategies. The performance of the proposed strategies is illustrated in the issue of monitoring gas diffusion.

关键词： Principal component analysis wireless sensor network adaptive learning distributed processing

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GENERALIZED COPRIME array CONFIGURATIONS

GENERALIZED COPRIME ARRAY CONFIGURATIONS

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Qin, Si Zhang, Yimin D. Amin, Moeness G. Villanova Univ Ctr Adv Commun Villanova PA 19085 USA

ISBN: (纸本)9781479914814

A coprime array consists of two uniform linear subarrays that construct an effective difference co-array with certain desirable characteristics. In this paper, we propose a generalized coprime array concept through the compression of the interelement spacing of one constituting subarray. As such, the existing variations of coprime array and nested array structures are represented as special cases. The achievable unique lags as well as consecutive lags in the resulting virtual array are analytically expressed, and the direction-of-arrival estimation performance is examined using both the MUSIC algorithm and sparse signal reconstruction techniques.

关键词： Coprime array sparse array difference co-array direction-of-arrival estimation compressive sensing

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Interference Mitigation in GNSS Receivers by array signal processing: A Software Radio Approach

Interference Mitigation in GNSS Receivers by Array Signal Pr...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Arribas, Javier Closas, Pau Fernandez-Prades, Carles CTTC Castelldefels 08860 Spain

ISBN: (纸本)9781479914814

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.

关键词： disturbance suppression likelihood ratio test Global Navigation Satellite System Receivers Software radio Spatial filters array signal processing precise registration

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Multidimensional ESPRIT: A Coupled Canonical Polyadic Decomposition Approach

Multidimensional ESPRIT: A Coupled Canonical Polyadic Decomp...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Sorensen, Mikael De lathauwer, Lieven Katholieke Univ Leuven EE Dept ESAT STADIUS Ctr Dynam Syst Signal Proc & Data Analyt B-3001 Leuven Heverlee Belgium iMinds Med IT Dept B-3001 Leuven Heverlee Belgium KU Leuven Kulak Grp Sci Engn & Technol B-8500 Kortrijk Belgium

ISBN: (纸本)9781479914814

The ESPRIT method is a classical method for one-dimensional harmonic retrieval. During the past two decades it has become apparent that several applications in signal processing correspond to the less studied Multidimensional Harmonic Retrieval (MHR) problem. In order to accommodate this demand, we propose an extension of ESPRIT to MHR based on the coupled canonical polyadic decomposition. This leads to a dedicated uniqueness condition and an algebraic framework for MHR.

关键词： Canonical decomposition MULTIDIMENSIONAL signal processing harmonics retrieval Esapent coupling

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