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检索条件"任意字段=2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010"

共 1026 条记录，以下是91-100 订阅

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Amplify-and-Forward Compressed Sensing as a PHY-Layer Secrecy Solution in Wireless sensor Networks

Amplify-and-Forward Compressed Sensing as a PHY-Layer Secrec...

引用

ieee 7th sensor array and multichannel signal processing workshop (sam)

作者： Barcelo-Llado, J. E. Morell, Antoni Seco-Granados, Gonzalo Univ Autonoma Barcelona Dpt Telecom & Syst Engn E-08193 Barcelona Spain

ISBN: (纸本)9781467310710

Results in distributed compressed sensing show that this technique can be applied to wireless sensor networks in order to reduce the power consumption and the amount of channel uses. In this paper we extend such results with the study of the physical layer secrecy performance. In particular, we focus on an amplify-and-forward compressed sensing scheme (AF-CS) for the case when malicious eavesdropping nodes are listening. We demonstrate that this scheme achieves perfect secrecy in presence of one eavesdropper (and also for a small number of them). We also show that a very high number of eavesdropping nodes are required to perfectly recover the signal in comparison to other distributed compressed sensing schemes in the literature.

关键词： Compressed sensing distributed schemes physical layer secrecy sparse signals wireless sensor networks

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Beamformer Design For Nonstationary signals by Means of Interfrequency Correlations

Beamformer Design For Nonstationary Signals by Means of Inte...

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ieee 7th sensor array and multichannel signal processing workshop (sam)

作者： Naghibi, Tofigh Pfister, Beat ETH Comp Engn & Networks Lab Speech Proc Grp Zurich Switzerland

ISBN: (纸本)9781467310710

The wide-sense stationary assumption has been frequently employed in array processing, since it results in uncorrelated frequency bins and consequently major simplifications arise. However, unlike stationary signals, significant interfrequency correlations are observable in nonstationary signals like speech. Here, we drop the stationarity assumption and will show that taking interfrequency correlations into account leads to higher noise reduction. We develop a framework to design nonstationary beamformers similar to the stationary Frost beamformers. Based on the noise model, it can be used to design both fixed and adaptive beamformers. The nonstationary beamformer derived here is a set of time-varying filters and hence can be seen as a set of time-frequency or wavelet transform filters.

关键词： beamformers Noise models time-varying filters array processing signals setting time Noise reduction Filters

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Performance Analysis of Time frequency Subspace based Direction Finding algorithms in presence of perturbed array manifold

Performance Analysis of Time frequency Subspace based Direct...

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

作者： Belouchrani, Adel Khodja, Mohamed Ecole Natl Polytech Dept Elect Engn Algiers Algeria

ISBN: (纸本)9781479914814

Conventional subspace based direction finding approaches such as MUSIC and ESPRIT algorithms commonly use the array data covariance matrix. In non stationary context, the use of the Spatial Time-Frequency Distribution (STFD) instead of the covariance matrix can significantly improve the performance of such algorithms. In this paper we are interested in the performance analysis of such approaches in the presence of both additive noise and perturbed array manifold. An unified expression of the Direction Of Arrival (DOA) error estimation is derived for both approaches. The obtained results show that for low signal to Noise Ratio (SNR) and high signal to sensor Perturbation Ratio (SPR) the STFD based DOA estimations perform better, while for high SNR and for the same SPR both Covariance and STFD based approaches have similar performance.

关键词： direction finding variance covariance matrix low SNR Direction of arrival estimation high SNR Subspace Multiple signal classification Additive noise Manifolds Covariance United States Department of Agriculture based Covariance matrix

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BEAMSPACE ADAPTIVE BEAMFORMING BASED ON PRINCIPLE COMPONENT ANALYSIS

BEAMSPACE ADAPTIVE BEAMFORMING BASED ON PRINCIPLE COMPONENT ...

引用

ieee sensor array and multichannel signal processing workshop

作者： Yu, Lei Liu, Wei Langley, Richard Univ Sheffield Dept Elect & Elect Engn Commun Res Grp Sheffield S10 2TN S Yorkshire England

ISBN: (纸本)9781424422401

A novel adaptive beamforming method is proposed without the knowledge of the direction of arrival of the signal of interest. It is a combination of the traditional beamspace processing method and a recently proposed technique called "Domain Weighted Principal Component Analysis (DW-PCA)" and can be applied to the case where the signal of interest is stronger than the interfering signals in both single-path and multi-path environments. Its effectiveness is verified by simulation results.

关键词： adaptive systems array signal processing multipath channels

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An extended ambiguity criterion for array design

An extended ambiguity criterion for array design

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2nd ieee sensor array and multichannel signal processing workshop

作者： Dowlut, N Motorola Canada Toronto Design Ctr Markham ON L6G 1B3 Canada

ISBN: (纸本)0780375513

The ambiguity problem in direction-of-arrival (DOA) estimation using a sensor array, manifests itself as spurious peaks in the DOA spectrum, making the true targets indistinguishable from the false alarms. A criterion that determines the presence of certain ambiguities inherent to a symmetric linear array was proposed in the literature. The criterion is a useful tool to design reliable sensor arrays. In this paper, a generalization of this ambiguity criterion is presented. The new ambiguity criterion encompasses more ambiguous DOAs and therefore gives a more accurate measurement of the reliability of an array design.

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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...

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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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Near-field scatter measurements using quadratic sensor-angle distributions

Near-field scatter measurements using quadratic sensor-angle...

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2nd ieee sensor array and multichannel signal processing workshop

作者： Frazer, GJ Amin, MG DSTO ISR Div Edinburgh Australia

ISBN: (纸本)0780375513

The sensor-Angle Distribution (SAD) is a recently introduced tool representing the power arriving at each sensor as a function of angle (or spatial frequency). It can be used to characterize near-field scatter environments. The SAD, as originally introduced, undersampled the spatial correlation of the received signal (measured at each sensor) causing the SAD to be aliased for common source location cases. In this paper we indicate how this may be overcome. Additional results are provided showing that the SAD may be implemented as a multiple weighted subarray beamformer.

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SPARSE BAYESIAN LEARNING FOR DOA ESTIMATION USING CO-PRIME AND NESTED arrayS 10

SPARSE BAYESIAN LEARNING FOR DOA ESTIMATION USING CO-PRIME A...

引用

10th ieee sensor array and multichannel signal processing workshop (sam)

作者： Nannuru, Santosh Gerstoft, Peter Koochakzadeh, Ali Pal, Piya Univ Calif San Diego Scripps Inst Oceanog La Jolla CA 92093 USA Univ Calif San Diego Elect & Comp Engn La Jolla CA 92093 USA

ISBN: (纸本)9781538647523

Sparse Bayesian learning (SBL) has been used to obtain source direction-of-arrivals (DoAs) from uniform linear array (ULA) data. The maximum number of sources that can be resolved using a ULA is limited by the number of sensors in the array. It is known that sparse linear arrays such as co-prime and nested arrays can resolve more sources than the number of sensors. In this paper we demonstrate this using SBL. We compute the mean squared error in source power estimation as various parameters are varied.

关键词： Sparse Bayesian learning co-prime array nested array DoA estimation compressed sensing

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On time-invariant FDA beam-pattern design based on time-dependent frequency offsets 11

On time-invariant FDA beam-pattern design based on time-depe...

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ieee 11th sensor array and multichannel signal processing workshop (sam)

作者： Shi, Jiantao Nanjing Res Inst Elect Technol Nanjing 210039 Peoples R China CETC Key Lab Intellisense Technol Nanjing 210039 Peoples R China

ISBN: (纸本)9781728119465

In the existing works on FDA beam-patterns produced by the traditional FDA are time variant, and this causes difficulties in target detecting and beam-pattern steering. For solving the problem, several time-dependent frequency offsets based time-invariant FDA beam-pattern design methods have been proposed, which, however, neglected the time-range relationship and led to erroneous conclusions. In this note, considering the practical constraint and the relationship between time and range, it is concluded that FDA beam-patterns are always time-variant and it is unable to form time-invariant beam-patterns.

关键词： Frequency diverse array time-dependent frequency offset time-invariant beam-pattern time-range relationship

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Direction of Arrival Estimation with Microphone arrays Using SRP-PHAT and Neural Networks 10

Direction of Arrival Estimation with Microphone Arrays Using...

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10th ieee sensor array and multichannel signal processing workshop (sam)

作者： Diaz-Guerra, David Beltran, Jose R. Univ Zaragoza Dept Elect Engn & Commun Zaragoza Spain

ISBN: (纸本)9781538647523

The Steered Response Power with phase transform (SRP-PHAT) is one of the most employed techniques for Direction of Arrival (DOA) estimation with microphone arrays due its robustness against acoustical conditions as reverberation or noise. Among its main drawbacks is the growth of its computational complexity when the search space increases. To solve this issue, we propose the use of Neural Networks (NN) to obtain the DOA as a regression problem from a low resolution SRP-PHAT power map. The NNs can learn and exploit the information of the acoustic reflections of the room where the array is located with a training method that can be easily performed by an end user without technical knowledge.

关键词： microphone array direction of arrival DOA Sound Source Localization SSL SRP SRP-PHAT neural netowrks tele-conference system Wireless Acoustic sensor Network WASN WSN

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