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Privacy-aware decentralized detection using linear precoding

Privacy-aware decentralized detection using linear precoding

引用

2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： He, Xin Tay, Wee Peng Sun, Meng Department of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)9781509021031

We study a nonparametric decentralized detection problem in which sensors send information to a fusion center that uses a support vector machine to make decisions about a public hypothesis. However, the same sensor information may also be used by the fusion center to infer about a private hypothesis, which the sensors wish to protect. To ensure information privacy (as opposed to data privacy), sensors perform linear precoding on their data. We develop an algorithm to optimize the precoder matrices in order to ensure that the empirical risk of detecting the private hypothesis is above a given threshold, while minimizing the empirical regularized risk of detecting the public hypothesis. Simulation results with both synthetic and real data sets demonstrate that our approach is able to ensure information privacy. © 2016 ieee.

关键词： sensor networks

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Closed-form expression of the Weiss-Weinstein bound for 3D source localization: The conditional case

Closed-form expression of the Weiss-Weinstein bound for 3D s...

引用

ieee sensor array and multichannel signal processing workshop

作者： Vu, Dinh Thang Renaux, Alexandre Boyer, Rémy Marcos, Sylvie Université Paris-Sud XI CNRS Rue Joliot Curie 91192 Gif-sur-Yvette Cedex France

ISBN: (纸本)9781424489770

In array processing, lower bounds are used as a benchmark to evaluate the ultimate performance of estimators. Among these bounds, the Weiss-Weinstein bound (WWB) is known as the tightest bound of Weiss-Weinstein family, and is able to predict the threshold effect of estimator's mean square error (MSE) at low signal-to-noise ratio (SNR) and/or at low number of snapshots. In this paper, we derive a closedform expression of the WWB for 3D source localization using an arbitrary planar antenna array in the case of a deterministic known signal. The presented results are shown to be useful for system design such as array geometry optimization. © 2010 ieee.

关键词： array processing

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Fuzzy triangle contour characterization by subspace based methods of array processing

Fuzzy triangle contour characterization by subspace based me...

引用

ieee sensor array and multichannel signal processing workshop

作者： Jiang, Haiping Marot, Julien Bourennane, Salah Fossati, Caroline Institut Fresnel/GSM Ecole Centrale Marseille D. U. de Saint-Jérôme Av. Normandie Niemen 13397 Marseille France

ISBN: (纸本)9781424489770

Fuzzy paradigm was considered from several aspects in image segmentation. For the first time, we derive a signal processing model out of an image which contains a fuzzy contour. We propose to adapt subspace-based methods of array processing which are originally dedicated to multiple incoherently distributed sources, to retrieve the orientation and spread parameters of fuzzy contours. A set of experiments performed on hand-made and real-world images shows that the proposed methods estimate accurately the expected orientation and spread parameters of fuzzy contours, and exhibit a small computational load. © 2010 ieee.

关键词： array processing

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Multi-sensor signal processing on a PSD matrix manifold

Multi-sensor signal processing on a PSD matrix manifold

引用

2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Wong, Kon Max Zhang, Jian-Kang Jiang, Huiying School of Information Engineering Zhengzhou University Zhengzhou China Dept of Electrical and Computer Engineering McMaster University Hamilton Canada

ISBN: (纸本)9781509021031

We propose to use the power spectral density (PSD) matrices of the received signals of a multi-sensor system as the feature of processing. PSD matrices have structural constraints and they form a manifold in signal space. We introduce two new Riemannian distance (RD) measures on the PSD matrix manifold and developed algorithms to locate the means and medians of PSD matrices in terms of these RD. These concepts are then applied to the detection of narrow-band sonar signals in noise and the results are encouraging. © 2016 ieee.

关键词： Covariance matrix

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signal strength localization bounds in ad hoc & sensor networks when transmit powers are random

Signal strength localization bounds in ad hoc & sensor netwo...

引用

4th ieee sensor array and multichannel signal processing workshop Proceedings, SAM 2006

作者： Patwari, Neal Hero III, Alfred O. Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI United States

ISBN: (纸本)1424403081

sensor localization bounds have been derived assuming that received signal strength (RSS) measurements are performed with perfectly known sensor transmit powers. In this paper the Bayesian Cramér-Rao bound is derived assuming transmit powers are random with known prior distribution. Further, both directional measurements on each link, from i to j and from j to i, and their correlation, are explicitly considered. Results show that random transmit powers have a small (5-13%) impact on coordinate estimation bounds. However, using only the average of the directional measurements can significantly increase these bounds. © 2006 ieee.

关键词： signal analysis

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On positioning via distributed matrix completion

On positioning via distributed matrix completion

引用

ieee sensor array and multichannel signal processing workshop

作者： Montanari, Andrea Oh, Sewoong EE and Statistics Department Stanford University Stanford CA 94304 United States

ISBN: (纸本)9781424489770

The basic question in matrix completion is to infer a large low-rank matrix from a small subset of its entries. Positioning refers to the task of inferring the locations of n points from a subset of their distance. It turns out that positioning can be viewed as a matrix completion problem, although of a peculiar type. This paper discusses the applicability of distributed matrix completion algorithms to the positioning problem. © 2010 ieee.

关键词： distributed matrix completion algorithms low-rank matrix matrix algebra positioning problem sensor placement

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A reference-free time difference of arrival source localization using a passive sensor array

A reference-free time difference of arrival source localizat...

引用

ieee sensor array and multichannel signal processing workshop

作者： Amar, Alon Leus, Geert Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft 2628 CD Netherlands

ISBN: (纸本)9781424489770

Least squares source position estimation techniques from time difference of arrival measurements are based on choosing a reference sensor. Selecting different reference sensors may affect the positioning accuracy by a considerable amount. We suggest a closed-form least squares position estimation using all the available distinct time differences, which does not involve the selection of a reference sensor. The nonlinear terms, associated with the distances between the sensors and the source, are eliminated with an orthogonal projection matrix. Simulation results show that the proposed approach outperforms previous closed-form least squares solutions. © 2010 ieee.

关键词： Time difference of arrival

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Effective rate analysis of MISO Rician fading channels

Effective rate analysis of MISO Rician fading channels

引用

2012 ieee 7th sensor array and multichannel signal processing workshop, SAM 2012

作者： Matthaiou, Michail Alexandropoulos, George C. Ngo, Hien Quoc Larsson, Erik G. Department of Signals and Systems Chalmers University of Technology Gothenburg Sweden Broadband Wireless and Sensor Networks Group Athens Information Technology Athens Greece Department of Electrical Engineering Linköping University Linköping Sweden

ISBN: (纸本)9781467310710

The delay constraints imposed by future wireless applications require a suitable metric for assessing their impact on the overall system performance. Since the classical Shannon's ergodic capacity fails to do so, the so-called effective rate was recently established as a rigorous alternative. Yet, most prior relevant works have considered only the typical case of Rayleigh fading which allows for tractable manipulations. In this paper, we relax this assumption by considering the more general Rician fading model for multiple-input single-output (MISO) systems. A new, analytical expression for the exact effective rate is derived, along with tractable expressions for the key parameters dictating the effective rate performance in the high and low signal-to-noise (SNR) regimes. © 2012 ieee.

关键词： Rayleigh fading

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A robust state-space approach for localizing wideband sources in sensor arrays

A robust state-space approach for localizing wideband source...

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2004 sensor array and multichannel signal processing workshop

作者： Velni, J. Mohammadpour Khorasani, K. Department of Electrical and Computer Engineering Concordia University Montreal Que. H3G 1M8 Canada

ISBN: (纸本)0780385454

The presence of measurement noise and model uncertainties in sensor arrays and the lack of statistical information poses several challenges for development of effective and robust algorithms for the Direction-of-Arrival (DOA) estimation problem in array processing. In this paper, we will investigate the improvements that are achievable in the DOA estimation problem by properly alleviating uncertainty effects through the application of robust H ∞ filtering techniques as a pre-processing stage. The proposed methodology is implemented for a wideband DOA estimation approach that is based on the Incoherent Wideband MUSIC (IWM) algorithm. Comparisons with and without robust filtering algorithm are also presented. ©2004 ieee.

关键词： signal processing

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Parametric joint detection-estimation of the number of sources in array processing

Parametric joint detection-estimation of the number of sourc...

引用

ieee sensor array and multichannel signal processing workshop

作者： Arkind, Noam Nadler, Boaz Department of Computer Science and Applied Mathematics Weizmann Institute of Science Rehovot 76100 Israel

ISBN: (纸本)9781424489770

Detection of the number of signals and estimation of their directions of arrival (DOAs) are fundamental problems in array processing. We present three main contributions to these problems, under the conditional model, where signal amplitudes are assumed deterministic unknown. First, we show that there is an explicit relation between model selection and the breakdown phenomena of the Maximum Likelihood estimator (MLE). Second, for the case of a single source, we provide a simple approximate formula for the location of the breakdown of the MLE, using tools from the maxima of stochastic processes. This gives an explicit formula for the source strength required for reliable detection. Third, we apply these results and propose a new joint detection-estimation algorithm with state-of-the-art performance. We demonstrate via simulations the improved detection performance of our algorithm, compared to other popular source enumeration methods. © 2010 ieee.

关键词： array processing

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