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共 931 条记录，以下是131-140 订阅

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Mitigating Outliers for Bayesian Mixture of Factor Analyzers 11

Mitigating Outliers for Bayesian Mixture of Factor Analyzers

引用

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

作者： Chen, Zhongtao Cheng, Lei Shenzhen Res Inst Big Data Shenzhen Peoples R China Chinese Univ Hong Kong Shenzhen Peoples R China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119465

the Bayesian mixture of factor analyzers (BMFA), which achieves joint clustering and dimensionality reduction, is with an appealing feature of automatic hyper-parameter learning. In addition to its great success in various unsupervised learning tasks, it exemplifies how the Bayesian statistics can be leveraged to achieve automatic hyper-parameter learning, which is an open problem of modern simultaneous (deep) dimensionality reduction and clustering. Due to the importance of the BMFA, in this paper, its mechanism is carefully investigated, and a robust variant of the BMFA that can mitigate potential outliers is further proposed. Numerical studies are presented to show the remarkable performance of the proposed algorithm in terms of accuracy and robustness.

关键词： Dimensionality reduction array signal processing Conferences signal processing algorithms Clustering algorithms Robustness Bayes methods

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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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BEAM PATTERN SYNthESIS FOR CONFORMAL array WIth SIDELOBE AND POLARIZATION CONTROL: A PENALIZED INEQUALITY APPROACH 11

BEAM PATTERN SYNTHESIS FOR CONFORMAL ARRAY WITH SIDELOBE AND...

引用

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

作者： Gao, Tianyu Pu, Wenqiang Zhang, Pengyu Luo, Zhi-Quan Chinese Univ Hong Kong Shenzhen Res Inst Big Data Shenzhen Peoples R China China Elect Technol Grp Corp Beijing Peoples R China

ISBN: (纸本)9781728119465

Conformal array is attractive due to its flexibility to attach to different shape of surface. However, beam pattern synthesis for conformal array to control power side lobes and different polarization components for two dimensional angle space is a challenge, especially the degree of freedom is limited. In this work, we propose a robust beam pattern synthesis formulation for conformal array based on constrained convex optimization. By penalizing the maximum gain of cross-polarization component levels, power side lobes and different polarization components are controlled in a manner that the number of constraints is no longer limited by the array DoF. the proposed formulation is a convex second-order cone programming, a computationally efficient algorithm based on the alternating directions of multipliers method is designed to solve it. Simulations demonstrate the effectiveness of the proposed formulation to synthesize a desired pattern with robustness.

关键词： array signal processing beamforming convex optimization

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MIMO Radar And Communications Spectrum Sharing: A Multiple-Access Perspective 10

MIMO Radar And Communications Spectrum Sharing: A Multiple-A...

引用

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

作者： Rong, Yu Chiriyath, Alex R. Bliss, Daniel W. Arizona State Univ Bliss Lab Informat Signals & Syst Tempe AZ 85287 USA

ISBN: (纸本)9781538647523

In this paper, we investigate the joint multiple-input multiple-output (MIMO) radar and communications system convergence problem and develop a joint radar-communications performance bound using the concept of estimation rate for radar system and data information rate for communications system. At the radar receiver, we propose a Successive Interference Cancellation (SIC) strategy to estimate radar parameters and decode communications signal simultaneously. While, at the MIMO communications transmitter, we propose a spectrum sharing scheme and show that the optimal communications performance can be achieved through a spectral and spatial waterfilling algorithm. In the end, we show that the Multiple-Access (MAC) performance bound outperforms the result from the spectrally isolated MIMO radar-communications system.

关键词： Radar Silicon carbide Estimation MIMO communication Radar signal processing"

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

Hierarchical Particle Filtering for Target Tracking in Multi...

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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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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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