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检索条件"任意字段=2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016"

共 1002 条记录，以下是121-130 订阅

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A synthetic acoustic volumetric array

A synthetic acoustic volumetric array

引用

4th ieee sensor array and multichannel signal processing workshop

作者： Rigelsford, Jonathan M. Tennant, Alan Univ Sheffield Dept Elect & Elect Engn Sheffield S1 3JD S Yorkshire England

This paper presents a novel synthetic aperture method, which can be used to reduce the average sidelobe level of a random spherical volumetric array. The technique exploits a general property of random arrays in which... 详细信息

ISBN: (纸本)1424403081

关键词： Ultrasonography

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Energy Detection for Decision Fusion in Wireless sensor Networks over Ricean-Mixture Fading

Energy Detection for Decision Fusion in Wireless Sensor Netw...

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

作者： Salvo Rossi, Pierluigi Ciuonzo, Domenico Ekman, Torbjoern Kansanen, Kimmo Univ Naples 2 Dept Ind & Informat Engn Naples Italy Norwegian Univ Sci & Technol Dept Elect & Telecommun Trondheim Norway

ISBN: (纸本)9781479914814

In this paper we focus on the energy detector for decision fusion in wireless sensor networks over multiple access channels. More specifically, we derive analytical performance in terms of global probability of false alarm and detection (including asymptotic performance for large number of sensors) when the fading is a Ricean mixture, i.e. channel coefficients are sampled from a Gaussian mixture (GM) distribution. The motivation for the GM is the ability to model real-world scenarios while keeping mathematical tractability. Analytical results are confirmed through numerical simulations.

关键词： Wireless sensor networks energy detector fading color Channel Coefficient probability of false alarm Fusion reactions Fusion, biological FUSION fusion (melting) Multiple Access Channel

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Joint Range, Angle and Doppler Estimation for FDA-MIMO Radar 10

Joint Range, Angle and Doppler Estimation for FDA-MIMO Radar

引用

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

作者： Xu, Jian Wang, Wen-Qin Cui, Can Gui, Ronghua Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Sichuan Peoples R China

ISBN: (纸本)9781538647523

Frequency diverse array (FDA) radar for joint range and angle estimation has drawn much attention, but Doppler estimation is often ignored in the literature. In this paper, we propose joint range, angle and Doppler estimation for FDA-multiple-input multiple-output (FDA-MIMO) radar. In order to reduce the computation complexity, the Doppler is independently estimated firstly by the extended invariance principle instead of maximum likelihood (ML) estimator. Next, the range and angle are estimated separately with the unstructured model. That is, the three-dimensional search problem of joint range, angle and Doppler estimation is simplified into three one-dimensional search problems. The superiorities of the proposed method over conventional ML algorithms are verified by numerical results.

关键词： Doppler effect Doppler radar array signal processing Maximum likelihood estimation sensor arrays"

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Hierarchical Particle Filtering for Target Tracking in Multi-Modal sensor Networks

Hierarchical Particle Filtering for Target Tracking in Multi...

引用

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

作者： Chavali, Phani Nehorai, Arye Washington Univ Preston M Green Dept Elect & Syst Engn St Louis MO 63130 USA

ISBN: (纸本)9781467310710

We propose a filtering method, called hierarchical particle filtering, for multi-modal sensor networks in which the unknown state vector is observed, through the measurements, in a hierarchical fashion. We partition the state space and the measurement space into lower dimensional subspaces. At each stage, we find an estimate of one partition using the measurements from the corresponding partition, and the information from the previous stages. We use hierarchical particle filtering for joint initiation, termination and tracking of multiple targets using multi-modal measurements. Numerical simulations demonstrate that the proposed filtering method accurately identifies the number and the categories of targets, and produces a lower mean-squared error (MSE) compared to the MSE obtained using a standard particle filter.

关键词： Particle filters metric space Target tracking Hierarchical sensor networks state space

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Dictionary Based Reconstruction and Classification of Randomly sampled sensor Network Data

Dictionary Based Reconstruction and Classification of Random...

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

作者： Tsagkatakis, Grigorios Tsakalides, Panagiotis Fdn Res & Technol Hellas FORTH Inst Comp Sci Iraklion Greece

ISBN: (纸本)9781467310710

In this paper, we propose a method for recovering and classifying WSN data while minimizing the number of samples that need to be acquired, processed, and transmitted. The problem is formulated according to the recently proposed framework of Matrix Completion (MC), which asserts that a low rank matrix can be recovered from a small number of randomly sampled entries. The application of MC in WSN data is motivated by the assumption that sensory data exhibit intra-sensor correlations and that these data can be represented using known examples. We formulate the problem as that of recovering the low rank measurement matrix by encoding the contributions of known examples, the dictionary elements, for reconstructing and classifying the data. Experimental results using artificial data suggest that the proposed scheme is able to accurately reconstruct and classify the sensory data from a small number of measurements.

关键词： sensor networks

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On performance study of blind identification of a multipath channel

On performance study of blind identification of a multipath ...

引用

1st ieee sensor array and multichannel signal processing workshop (sam 2000)

作者： Desmézières, A Costa, P Larzabal, P ENS LESiR URA CNRS F-94235 Cachan France

ISBN: (纸本)0780363396

This work presents a general framework for identification of multipath channel. Connexion between different methods are established, allowing comparison of performances. Several blind identification algorithms are;proposed depending of the temporal correlation of the fadings. Moreover we have proposed an approximate ML method which is low computationaly cost and quasi optimal.

关键词： Antenna arrays Antennas and propagation Computational efficiency Cost function Fading Multipath channels Parameter estimation Phase estimation Phased arrays sensor arrays

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Phased array With Improved Beamforming Capability via Use of Double Phase Shifters 12

Phased Array With Improved Beamforming Capability via Use of...

引用

ieee 12th sensor array and multichannel signal processing workshop (sam)

作者： Xu, Zhaoyi Petropulu, Athina P. Rutgers State Univ Dept Elect & Comp Engn New Brunswick NJ 08854 USA

ISBN: (纸本)9781665406338

The passive electronically scanned array (PESA) is widely used due to its simple structure and low cost. Its antenna weights have unit modulus and thus, only the weights phases can be controlled. PESA has limited degrees of freedom for beampattern design, where only the direction of the main beam can be controlled. In this paper we propose a novel way to improve the beamforming capability of PESA by endowing it with more degrees of freedom via the use of double phase shifters (DPS). By doing so, both the magnitude and the phase of the antenna weights can be controlled, allowing for more flexibility in the beampattern design. We also take into account the physical resolution limitation of phase shifters, and propose a method to approximate a given complex beamformer using DPS. Simulation results indicate significant beamforming improvement even at low phase resolution.

关键词： Phased array Double phase shifters Beampattern

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Distributed Source processing with Linear Nested arrays

Distributed Source Processing with Linear Nested Arrays

引用

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

作者： Han, Keyong Nehorai, Arye Washington Univ Preston M Green Dept Elect & Syst Engn St Louis MO 63130 USA

ISBN: (纸本)9781479914814

We consider the problem of using linear nested arrays to estimate the direction of arrival (DOA) of spatially distributed sources and detect the source number, where we have more sources than the actual physical sensors. Angular spread, caused by the multipath nature of distributed sources, makes the commonly used point source assumption ineffective. In this paper, we establish the signal model for distributed sources using a nested array. Due to the characteristics of distributed sources, the regular spatial smoothing technique, which is used to exploit the increased degrees of freedom provided by the co-array, no longer works. We thus propose a novel spatial smoothing approach to circumvent this problem. Based on the analytical results, we construct corresponding DOA estimation and source number detection methods. The effectiveness of the proposed methods is verified through numerical examples.

关键词： Distributed source nested array direction of arrival estimation source number detection

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Robust Adaptive Monopulse processing for Multiple Observations with Applications to TS-MIMO Radar 11

Robust Adaptive Monopulse Processing for Multiple Observatio...

引用

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

作者： Yu, Kai-Bor Fernandez, Manuel F. Shanghai Jiao Tong Univ Shanghai Key Lab Intelligent Sensing & Recognit Shanghai Peoples R China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119465

In a recent paper, we have shown advancement of adaptive monopulse processing techniques by adding some robust features such as low-sidelobes, addressing the signal cancellation issues and relaxing the linear assumption of the monopulse ratio curve (MRC) in addition to cancelling jamming and maintaining the monopulse beam patterns for target angle estimation. This technique is extended in this paper for the case of multiple observations as it arises in multi-pulse radar operation and transmit sub-aperture (TS) MIMO radar. We show that the optimal solution is the weighted average of the monopulse ratio measurements followed by monopulse angle estimation. This can be interpreted as processing fusion which is averaging the monopulse ratios followed by monopulse angle estimation and as an alternative in reversing the order, we can perform monopulse angle estimation for each observation followed by averaging.

关键词： Monopulse processing adaptive monopulse robust adaptive monopulse TS-MIMO processing fusion

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MMOSPA-based Direction-of-Arrival Estimation for Planar Antenna arrays

MMOSPA-based Direction-of-Arrival Estimation for Planar Ante...

引用

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

作者： Baum, Marcus Willett, Peter Hanebeck, Uwe D. Univ Connecticut Dept Elect & Comp Engn Storrs CT 06269 USA Karlsruhe Inst Technol KIT Intelligent Sensor Actuator Syst Lab ISAS Karlsruhe Germany

ISBN: (纸本)9781479914814

This work is concerned with direction-of-arrival (DOA) estimation of narrowband signals from multiple targets using a planar antenna array. We illustrate the shortcomings of Maximum Likelihood (ML), Maximum a Posteriori (MAP), and Minimum Mean Squared Error (MMSE) estimation, issues that can be attributed to the symmetry in the likelihood function that must exist when there is no information about labeling of targets. We proffer the recently introduced concept of Minimum Mean OSPA (MMOSPA) estimation that is based on the optimal sub-pattern assignment (OSPA) metric for sets and hence inherently incorporates symmetric likelihood functions.

关键词： planar antenna arrays Direction of arrival estimation Likelihood Functions Mean square error Narrowband Antenna arrays Targets SETTING Planar antennas

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