Ido Nevat | Institute for Infocomm Research (original) (raw)

Papers by Ido Nevat

Research paper thumbnail of Random Field Reconstruction With Quantization in Wireless Sensor Networks

IEEE Transactions on Signal Processing, 2000

ABSTRACT We develop new and novel algorithms for spatial field reconstruction and spatial exceeda... more ABSTRACT We develop new and novel algorithms for spatial field reconstruction and spatial exceedance level estimation. We consider spatial physical phenomena which are partially observed by a wireless sensor network. We focus on the practical scenario in which, due to bandwidth and power constraints, the observations at the sensors are quantized and transmitted over imperfect wireless channels. We first develop the Spatial-Best Linear Unbiased Estimator (S-BLUE) algorithm for the spatial field reconstruction estimation. We then develop an algorithm that is based on a multivariate series expansion approach resulting in a Saddle-point type approximation to solve both problems of spatial field reconstruction and exceedance level estimation. We derive the Posterior Cramér Rao Lower Bound (PCRLB) and quantify the achievable MSE in the estimation. The estimation accuracy of the proposed algorithms is quantified via numerical comparisons between the two algorithms and the PCRLB.

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Research paper thumbnail of Location-aware Cooperative Spectrum Sensing via Gaussian Processes

ieeexplore.ieee.org

ABSTRACT We present a new paradigm to perform spatial spectrum sensing in cooperative cognitive r... more ABSTRACT We present a new paradigm to perform spatial spectrum sensing in cooperative cognitive radio networks. In these networks, nodes cooperate to infer information on spectral and spatial occupancy. Following the recently proposed interference temperature metric, we formulate the problem via semi-parametric Gaussian Process modelling. This allows for a development of a flexible probabilistic framework to perform inference on a function space. Our methodology enables sensing spatial reusable zones, by means of a collaborative scheme to estimate the distribution of power emitted by the primary user in space. Hence, rather than a conventional binary decision process in space (busy/idle), our scheme provides a probabilistic spectrum access scheme for cognitive radio networks. We develop an algorithm, based on the Iterated Conditioning on the Modes (ICM) estimation to predict spatial spectral holes at any arbitrary spatial location. The ICM approach is computationally efficient, and suitable for real world applications. Numerical results demonstrate the benefits obtained by the proposed algorithm.

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Research paper thumbnail of An Information Theoretic Location Verification System for Wireless Networks

Arxiv preprint arXiv:1204.4585, Jan 1, 2012

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Research paper thumbnail of Channel Tracking in Relay Systems via Particle MCMC

… Technology Conference (VTC …, Jan 1, 2011

Abstract We present a new approach for joint channel tracking and parameter estimation in coopera... more Abstract We present a new approach for joint channel tracking and parameter estimation in cooperative wireless relay networks, based on a particle Markov chain Monte Carlo (PMCMC) method. We consider a system with multiple relay nodes operating under an ...

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Research paper thumbnail of Cooperative Spectrum Sensing for Amplify-and-Forward Cognitive Networks

Arxiv preprint arXiv:1104.2355, Jan 1, 2011

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Research paper thumbnail of Topics in Statistical Signal Processing for Estimation and Detection in Wireless Communication Systems

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Research paper thumbnail of Spectrum sensing in cooperative cognitive networks with partial CSI

Statistical Signal Processing …

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Research paper thumbnail of Cooperative Spectrum Sensing with Partial CSI

Arxiv preprint arXiv:1104.2355, Jan 1, 2011

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Research paper thumbnail of Channel estimation in OFDM systems with unknown power delay profile using transdimensional MCMC

Signal Processing, IEEE …, Jan 1, 2009

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Research paper thumbnail of WAVE FIELD BASED SOURCE LOCALISATION IN NON-FREE SPACE ENVIRONMENTS

nicta.com.au

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Research paper thumbnail of Filtering for Linear/Nonlinear State Space Models

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Research paper thumbnail of Maximum a-posteriori estimation in linear models with a random Gaussian model matrix: A Bayesian-EM approach

Acoustics, Speech and Signal …, Jan 1, 2008

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Research paper thumbnail of Detection of Gaussian constellations in MIMO systems under imperfect CSI

… , IEEE Transactions on, Jan 1, 2010

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Research paper thumbnail of Error Propagation Mitigation for Iterative Channel Tracking, Detection and Decoding of BICM-OFDM Systems

… Communication Systems, Jan 1, 2007

Abstract—We present a novel method to reduce error-propagation in iterative receivers of BICM-OFD... more Abstract—We present a novel method to reduce error-propagation in iterative receivers of BICM-OFDM systems under fast fading channels. The effect of symbols misdetection on channel tracking is studied and a novel solution to combat the performance degradation is ...

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Research paper thumbnail of Spectrum Sensing in Cooperative Cognitive Radio Networks with Partial CSI

Arxiv preprint arXiv:1006.3154, Jan 1, 2010

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Research paper thumbnail of Blind Spectrum Sensing in Cognitive Radio over Fading Channels and Frequency Offsets

Arxiv preprint arXiv:1006.3155, Jan 1, 2010

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Research paper thumbnail of CHANNEL TRACKING FOR OFDM SYSTEMS USING DETECTIONS PRUNING

perso.telecom-paristech.fr

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Research paper thumbnail of Semi-Blind System Identification in Wireless Relay Networks via Gaussian Process Iterated Conditioning on the Modes Estimation

Arxiv preprint arXiv:1106.3409, Jan 1, 2011

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Research paper thumbnail of MIMO Detection With High-Level Modulations Using Power Equality Constraints

Vehicular Technology, IEEE …, Jan 1, 2010

Abstract This paper proposes computationally efficient algorithms for the detection of symbols of... more Abstract This paper proposes computationally efficient algorithms for the detection of symbols of high-level modulation constellations in multiple-input-multiple-output (MIMO) systems. The proposed approach is based on replacing the maximum-likelihood constraint with a finite set of power equality constraints (PECs), resulting in a set of nonconvex optimization problems, which can efficiently be solved using the hidden convexity methodology. Next, using specific structural properties of the proposed approach, we ...

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Research paper thumbnail of Channel Estimation in OFDM Systems with Unknown Power Delay Profile using Trans-Dimensional MCMC via Stochastic Approximation

…, Jan 1, 2009

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Research paper thumbnail of Random Field Reconstruction With Quantization in Wireless Sensor Networks

IEEE Transactions on Signal Processing, 2000

ABSTRACT We develop new and novel algorithms for spatial field reconstruction and spatial exceeda... more ABSTRACT We develop new and novel algorithms for spatial field reconstruction and spatial exceedance level estimation. We consider spatial physical phenomena which are partially observed by a wireless sensor network. We focus on the practical scenario in which, due to bandwidth and power constraints, the observations at the sensors are quantized and transmitted over imperfect wireless channels. We first develop the Spatial-Best Linear Unbiased Estimator (S-BLUE) algorithm for the spatial field reconstruction estimation. We then develop an algorithm that is based on a multivariate series expansion approach resulting in a Saddle-point type approximation to solve both problems of spatial field reconstruction and exceedance level estimation. We derive the Posterior Cramér Rao Lower Bound (PCRLB) and quantify the achievable MSE in the estimation. The estimation accuracy of the proposed algorithms is quantified via numerical comparisons between the two algorithms and the PCRLB.

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Research paper thumbnail of Location-aware Cooperative Spectrum Sensing via Gaussian Processes

ieeexplore.ieee.org

ABSTRACT We present a new paradigm to perform spatial spectrum sensing in cooperative cognitive r... more ABSTRACT We present a new paradigm to perform spatial spectrum sensing in cooperative cognitive radio networks. In these networks, nodes cooperate to infer information on spectral and spatial occupancy. Following the recently proposed interference temperature metric, we formulate the problem via semi-parametric Gaussian Process modelling. This allows for a development of a flexible probabilistic framework to perform inference on a function space. Our methodology enables sensing spatial reusable zones, by means of a collaborative scheme to estimate the distribution of power emitted by the primary user in space. Hence, rather than a conventional binary decision process in space (busy/idle), our scheme provides a probabilistic spectrum access scheme for cognitive radio networks. We develop an algorithm, based on the Iterated Conditioning on the Modes (ICM) estimation to predict spatial spectral holes at any arbitrary spatial location. The ICM approach is computationally efficient, and suitable for real world applications. Numerical results demonstrate the benefits obtained by the proposed algorithm.

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Research paper thumbnail of An Information Theoretic Location Verification System for Wireless Networks

Arxiv preprint arXiv:1204.4585, Jan 1, 2012

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Research paper thumbnail of Channel Tracking in Relay Systems via Particle MCMC

… Technology Conference (VTC …, Jan 1, 2011

Abstract We present a new approach for joint channel tracking and parameter estimation in coopera... more Abstract We present a new approach for joint channel tracking and parameter estimation in cooperative wireless relay networks, based on a particle Markov chain Monte Carlo (PMCMC) method. We consider a system with multiple relay nodes operating under an ...

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Research paper thumbnail of Cooperative Spectrum Sensing for Amplify-and-Forward Cognitive Networks

Arxiv preprint arXiv:1104.2355, Jan 1, 2011

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Research paper thumbnail of Topics in Statistical Signal Processing for Estimation and Detection in Wireless Communication Systems

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Research paper thumbnail of Spectrum sensing in cooperative cognitive networks with partial CSI

Statistical Signal Processing …

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Research paper thumbnail of Cooperative Spectrum Sensing with Partial CSI

Arxiv preprint arXiv:1104.2355, Jan 1, 2011

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Research paper thumbnail of Channel estimation in OFDM systems with unknown power delay profile using transdimensional MCMC

Signal Processing, IEEE …, Jan 1, 2009

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Research paper thumbnail of WAVE FIELD BASED SOURCE LOCALISATION IN NON-FREE SPACE ENVIRONMENTS

nicta.com.au

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Research paper thumbnail of Filtering for Linear/Nonlinear State Space Models

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Research paper thumbnail of Maximum a-posteriori estimation in linear models with a random Gaussian model matrix: A Bayesian-EM approach

Acoustics, Speech and Signal …, Jan 1, 2008

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Research paper thumbnail of Detection of Gaussian constellations in MIMO systems under imperfect CSI

… , IEEE Transactions on, Jan 1, 2010

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Research paper thumbnail of Error Propagation Mitigation for Iterative Channel Tracking, Detection and Decoding of BICM-OFDM Systems

… Communication Systems, Jan 1, 2007

Abstract—We present a novel method to reduce error-propagation in iterative receivers of BICM-OFD... more Abstract—We present a novel method to reduce error-propagation in iterative receivers of BICM-OFDM systems under fast fading channels. The effect of symbols misdetection on channel tracking is studied and a novel solution to combat the performance degradation is ...

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Research paper thumbnail of Spectrum Sensing in Cooperative Cognitive Radio Networks with Partial CSI

Arxiv preprint arXiv:1006.3154, Jan 1, 2010

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Research paper thumbnail of Blind Spectrum Sensing in Cognitive Radio over Fading Channels and Frequency Offsets

Arxiv preprint arXiv:1006.3155, Jan 1, 2010

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Research paper thumbnail of CHANNEL TRACKING FOR OFDM SYSTEMS USING DETECTIONS PRUNING

perso.telecom-paristech.fr

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Research paper thumbnail of Semi-Blind System Identification in Wireless Relay Networks via Gaussian Process Iterated Conditioning on the Modes Estimation

Arxiv preprint arXiv:1106.3409, Jan 1, 2011

Bookmarks Related papers MentionsView impact

Research paper thumbnail of MIMO Detection With High-Level Modulations Using Power Equality Constraints

Vehicular Technology, IEEE …, Jan 1, 2010

Abstract This paper proposes computationally efficient algorithms for the detection of symbols of... more Abstract This paper proposes computationally efficient algorithms for the detection of symbols of high-level modulation constellations in multiple-input-multiple-output (MIMO) systems. The proposed approach is based on replacing the maximum-likelihood constraint with a finite set of power equality constraints (PECs), resulting in a set of nonconvex optimization problems, which can efficiently be solved using the hidden convexity methodology. Next, using specific structural properties of the proposed approach, we ...

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Research paper thumbnail of Channel Estimation in OFDM Systems with Unknown Power Delay Profile using Trans-Dimensional MCMC via Stochastic Approximation

…, Jan 1, 2009

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