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检索条件"任意字段=4th IEEE Sensor Array and Multichannel Signal Processing Workshop"

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PARAMETRIC BOOTSTRAPPING OF array DATA WIth A GENERATIVE ADVERSARIAL NETWORK 11

PARAMETRIC BOOTSTRAPPING OF ARRAY DATA WITH A GENERATIVE ADV...

引用

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

作者： Gerstoft, Peter Groll, Herbert Mecklenbrauker, Christoph F. Univ Calif San Diego La Jolla CA 92093 USA TU Wien Inst Telecommun A-1040 Vienna Austria

ISBN: (纸本)9781728119465

Since the number of independent array data snapshots is limited by the availability of real-world data, we propose a parametric bootstrap for resampling. the proposed parametric bootstrap is based on a generative adversarial network (GAN) following the generative approach to machine learning. For the GAN model we chose the Wasserstein GAN with penalized norm of gradient of the critic with respect to its input (wGAN_gp). the approach is demonstrated with synthetic and real-world ocean acoustic array data.

关键词： generative adversarial network GAN sample covariance matrix DOA estimation Hellinger distance

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Distributed Ensemble Kalman Filtering

Distributed Ensemble Kalman Filtering

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

作者： Shahid, Arslan Uestebay, Deniz Coates, Mark McGill Univ Dept Elect & Comp Engn Montreal PQ H3A 2A7 Canada

ISBN: (纸本)9781479914814

We address the problem of distributed filtering in a wireless sensor network and develop distributed approximations of three variants of the ensemble Kalman filter. We express the update equations in an alternative information form in order to formulate a distributed measurement update mechanism. the distributed filters use randomized gossip to reach consensus on the statistics needed to perform an update. Simulation results suggest that in the case of linear measurements and high-dimensional nonlinear measurements (with measurement model parameters known network-wide) with nonlinear state dynamics the proposed schemes achieve accuracy comparable to state-of-the-art distributed filters while significantly reducing the communication overhead.

关键词： Kalman filtering Distribute Wireless sensor networks Linear measurement Filters Distributed measurement Simulation results Gossip

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Sparse signal Recovery Using a Binary Program 12

Sparse Signal Recovery Using a Binary Program

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

作者： Rahman, Muhammed Tahsin Valaee, Shahrokh Univ Toronto Elect & Comp Engn Toronto ON Canada

ISBN: (纸本)9781665406338

Sparsity based signal recovery has seen great success in solving underdetermined systems of equations. this success is due, in large part, to a relaxation: the l0-norm is replaced by the l1-norm, which results in a convex problem. However, such a relaxation may lead to a suboptimal solution, one that may even be asymptotically biased. We propose formulating sparse signal recovery as a binary program, and we derive the conditions under which such a formulation perfectly recovers the signal support. this derivation equips us with a constraint on the dictionary's spectrum. However, designing such a dictionary is a combinatorial problem, so we suggest a heuristic which can be readily satisfied using the alternating projections algorithm. Applied to angle of arrival (AoA) estimation using a sensor array, we show how this paradigm outperforms both the basis pursuit l1-norm relaxation and the Matrix Pencil method.

关键词： Binary program sparsity compressed sensing angle of arrival estimation antenna array

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Distributed Multiarray Noise Reduction With Online Estimation Of Masks And Spatial Filters 11

Distributed Multiarray Noise Reduction With Online Estimatio...

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

作者： Bartolewska, Julitta Kowalczyk, Konrad AGH Univ Sci & Technol Dept Elect PL-30059 Krakow Poland

ISBN: (纸本)9781728119465

A rapid increase in popularity of smart devices equipped with acoustic sensors enables the design of speech enhancement methods for distributed setups. In this work, we present a distributed noise reduction scheme in which the time-frequency masks and spatial filters are estimated at the nodes based on the locally available microphone signals and the compressed signals received from other nodes, where each node transmits only a single signal. the proposed block processing facilitates online estimation of masks and distributed spatial filters in an interchanged fashion. the results of performed numerical experiments indicate that the proposed online distributed noise reduction scheme performs similarly to the centralized approach, in which signals of all microphones of the distributed arrays are available for joint processing, and it significantly outperforms the local approach in which only the local microphone signals are available for the estimation of masks and spatial filters.

关键词： distributed sensor arrays mask-based noise reduction distributed spatial filtering multichannel Wiener filter

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Digital signal processing: A Review Journal: Editorial

Digital Signal Processing: A Review Journal: Editorial

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作者： Rangaswamy, Muralidhar Campbell, Joe

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Improving the Projection Method for TOA Source Localization in the Presence of sensor Position Errors

Improving the Projection Method for TOA Source Localization ...

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

作者： Li, Jinzhou Ho, K. C. Guo, Fucheng Jiang, Wenli Natl Univ Def Technol Sch Elect Sci & Engn Changsha 410073 Hunan Peoples R China Univ Missouri ECE Dept Columbia MO 65211 USA

ISBN: (纸本)9781479914814

this paper develops a closed-form solution that improves the projection matrix method for time of arrival (TOA) source localization in the presence of sensor position inaccuracy. the projection approach is attractive because it does not require the use of an extra variable as in the traditional closed-form solution. Compared with the previous projection method, the proposed algorithm offers a closed-form solution and at the same time attains the Cramer-Rao lower bound (CRLB) performance for Gaussian noise over the small noise region. the performance of the proposed method is validated by simulations.

关键词： Time of arrival

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Limited Field-of-View Multimodal sensor Adaptation for Data Association

Limited Field-of-View Multimodal Sensor Adaptation for Data ...

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

作者： O'Rourke, Sean M. Swindlehurst, A. Lee Univ Calif Irvine Ctr Pervas Commun & Comp Irvine CA 92697 USA

ISBN: (纸本)9781467310710

We have investigated the utility of field-of-view adaptation for multimodal sensing in cluttered multi-target environments. Measurement data from multiple integrated sensors are collected at a fusion center, which employs a soft association procedure to integrate them into the estimation procedure. A variance penalty model for the limited fields-of-view property is incorporated into the state estimation procedure. this model also forms the basis of an optimization problem that determines the best next-step sensing parameters for the changing target environment. Numerical simulations demonstrate the benefit of the proposed method for both tracking and association metrics compared to a non-adaptive tracker.

关键词： Multimodal sensing data association assessment procedure integrated sensor

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Combining Artificial and Natural Background Noise in Personal Audio Systems 10

Combining Artificial and Natural Background Noise in Persona...

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

作者： Wallace, Daniel Cheer, Jordan Univ Southampton Inst Sound & Vibrat Res Southampton Hants England

ISBN: (纸本)9781538647523

Personal audio systems are designed to deliver spatially separated regions of audio to individual listeners. this paper presents a method for improving the privacy of such systems. the level of a synthetic masking signal is optimised to provide specified levels of intelligibility in the bright and dark sound zones and reduce the potential for annoyance of listeners in the dark zone by responding to changes in ambient noise. Results from a simulated personal audio system indicate that less acoustic contrast is required to produce the same level of privacy when artificial masking is included in the system design, compared with relying on the masking effect of background noise alone. As privacy requirements become more challenging, the advantage gained by incorporating artificial masking increases.

关键词： Noise measurement Audio systems Privacy Psychoacoustics array signal processing"

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Robust Adaptive Beamforming for Coprime array Based on Interference Power Estimation via Subspace 11

Robust Adaptive Beamforming for Coprime Array Based on Inter...

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

作者： Sun, Sicong Ye, Zhongfu Zhu, Xingyu Univ Sci & Technol China Natl Engn Lab Speech & Language Informat Proc Hefei 230027 Peoples R China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119465

Compared with uniform linear array (ULA), the coprime array can obtain larger array aperture with the same number of physical sensors, which leads to higher spatial resolution and less effect of mutual coupling. Also, the degrees of freedom (DOFs) can be increased by reconstructing the sampling covariance matrix (SCM) in virtual array domain. In this paper, we propose a robust adaptive beamforming (RAB) algorithm based on coprime array. A novel subspace based method is performed in virtual array domain to estimate the power and direction of arrival (DOA) of interference, which also obtains the ability for DOFs enhancement. Simulation results demonstrate the robustness and effectiveness of the proposed method.

关键词： robust adaptive beamforming coprime array degrees of freedom covariance matrix reconstruction virtual array

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Joint User Selection and Hybrid Analog-Digital Beamforming in Massive MIMO Systems 10

Joint User Selection and Hybrid Analog-Digital Beamforming i...

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

作者： Hegde, Ganapati Pesavento, Marius Tech Univ Darmstadt Commun Syst Grp Darmstadt Germany

ISBN: (纸本)9781538647523

In this paper, we consider a multi-user massive MIMO network with hybrid beamforming architecture at the base station. the objective is to jointly perform user selection and design analog-digital hybrid beamformers in order to maximize a given utility function while satisfying various pertinent constraints. the problem is combinatorial and impractical to solve optimally for a large system. In order to overcome the problem we develop a low-complexity heuristic algorithm. We propose a novel metric to judiciously select a predefined number of appropriate users and to pick congruent analog beamformers from a given dictionary based on the sparse regression techniques. Complementary digital beamformers are then designed for the selected users and fixed analog beamformers. through simulations we analyze the performance of the proposed technique and compare it with the performance of standard techniques.

关键词： array signal processing Dictionaries Radio frequency Linear programming MIMO communication signal to noise ratio Interference"

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