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检索条件"任意字段=IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2000"

共 962 条记录，以下是171-180 订阅

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MAP-PF 3D POSITION TRACKING USING MULTIPLE sensor arrayS

MAP-PF 3D POSITION TRACKING USING MULTIPLE SENSOR ARRAYS

引用

ieee sensor array and multichannel signal processing workshop

作者： Bell, Kristine L. Pitre, Richard George Mason Univ Dept Stat Fairfax VA 22030 USA LLC RobTre Res Clarksville TN 21029 USA

ISBN: (纸本)9781424422401

The maximum a posteriori penalty function (MAP-PF) approach is applied to three-dimensional (3D) target position tracking of multiple wideband sources using multiple distributed sensor arrays. The track estimation problem is formulated directly from the array data using the maximum a posteriori (MAP) estimation criterion. The penalty function (PF) method of nonlinear programming is used to obtain a tractable solution. A sequential update procedure is developed in which penalized maximum likelihood estimates of target directions-of-arrival (DOAs) and spectra are computed at each array and then used as synthetic measurements in a set of extended Kalman filters. The two steps are coupled via the penalty function. The current target states are used to guide the DOA/spectrum estimation, and the estimated signal spectra control the influence of the DOA estimates from each array on the final track estimates. The algorithm can be implemented in a decentralized manner where DOA/spectrum estimation is performed at the arrays, and track estimation is performed at a central processing site.

关键词： Direction of arrival

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Sparse array Beamformer Design via ADMM 12

Sparse Array Beamformer Design via ADMM

引用

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

作者： Huang, Huiping So, Hing Cheung Zoubir, Abdelhak M. Tech Univ Darmstadt Darmstadt Germany City Univ Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781665406338

In this paper, we devise a sparse array design algorithm for adaptive beamforming. Our strategy is based on finding a sparse beamformer weight to maximize the output signal-tointerference-plus-noise ratio (SINR). The proposed method uses the alternating direction method of multipliers (ADMM), and admits closed-form solutions at each ADMM iteration. Numerical results exhibit excellent performance of the proposed method, which is comparable to that of the exhaustive search approach.

关键词： Adaptive beamforming ADMM sparse array design output SINR

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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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AN ALTERNATING MINIMIZATION APPROACH TO OPTIMIZING SUBarray CONFIGURATION FOR A LARGE PHASED array 10

AN ALTERNATING MINIMIZATION APPROACH TO OPTIMIZING SUBARRAY ...

引用

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

作者： Pu, Wenqiang Yu, Yong Yu, Shuhua Luo, Zhi-Quan Xidian Univ Natl Lab Radar Signal Proc Xian Shaanxi Peoples R China China Elect Technol Grp Corp Beijing Peoples R China Chinese Univ Hong Kong Shenzhen Res Inst Big Data Shenzhen Peoples R China

ISBN: (纸本)9781538647523

A large size phased array is a powerful system for surveillance, but must be appropriately decomposed as subarrays for efficient digital beamforming. One fundamental question is how to configure a large array as subarrays to satisfy various signal processing requirements. This work deals with two basic signal processing tasks, synthesizing multiple beams at subarray level and adaptively suppressing multiple interferences. Two optimization criteria to jointly design subarray configuration and digital weights for subarrays are proposed. To handle the large number of variables in the optimization formulations, we propose an alternating minimization approach with low computation cost. Numerical simulations are presented to demonstrate the effectiveness of the proposed algorithm.

关键词： Phased array subarray beamforming alternating optimization

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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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Denoising multisensor data

Denoising multisensor data

引用

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

作者： Rao, AM Jones, DL Univ Illinois Dept Elect & Comp Engn Urbana IL 61801 USA

ISBN: (纸本)0780363396

Multisensor array processing of noisy measurements has received considerable attention in many areas of signal processing. Thr,optimal processing techniques developed so far usually assume the signal and noise processes are at least wide-sense-stationary, yet a need exists for efficient, effective methods for processing nonstationary signals. While wavelets have proven to be useful tools in dealing with certain nonstationary signals, the way in which wavelets are to be used in the multisensor setting has only recently been considered. In this work we show how multisensor denoising can be carried out in perturbed, narrowband arrays even in the absence of the signal source's direction of arrival. We show that our proposed blind estimator can be implemented efficiently and robustly employing only wavelet and discrete Fourier transforms while entailing only a small loss in performance.

关键词： array processing

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Multiple Target Tracking Using a Narrowband RF sensor array

Multiple Target Tracking Using a Narrowband RF Sensor Array

引用

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

作者： Kreucher, Chris Himed, Braham Integr Applicat Inc Ann Arbor MI 48108 USA US Air Force Res Lab RYMD WPAFB RF Technol Branch Columbus OH USA

ISBN: (纸本)9781467310710

This paper describes a method for detecting and tracking multiple moving targets using a multistatic narrowband radar sensor array. We show that the appropriate model for the sensor array measurements is non-linear and the statistics are non-Gaussian. We use this model in conjunction with a Bayesian estimation algorithm which constructs a probability density on the number of targets and their states. The density is approximated using a novel hybrid discrete grid/particle filter. We evaluate the performance on a set of experimental data from a 6-channel array to detect and track two targets that cross, make sharp turns, and move nearly cross-radially to some pairs for a significant portion of the collect.

关键词： multiple target tracking Narrowband sensor arrays Non-Gaussian Target tracking

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Distributed Ensemble Kalman Filtering

Distributed Ensemble Kalman Filtering

引用

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

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

引用

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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2-D sensor position perturbation analysis: Equivalence to AWGN on array outputs

2-D sensor position perturbation analysis: Equivalence to AW...

引用

2nd ieee sensor array and multichannel signal processing workshop

作者： Cevher, V McClellan, JH Georgia Inst Technol Atlanta GA 30332 USA

ISBN: (纸本)0780375513

In this paper, the performance of a subspace beamformer, namely the multiple signal classification algorithm (MUSIC), is scrutinized in the presence of sensor position errors. Based on a perturbation model, a relationship between the array autocorrelation matrix and the source autocorrelation matrix is established. It is shown that under certain assumptions on the source signals, the Gaussian sensor perturbation errors can be modelled as additive white Gaussian noise (AWGN) for an array where sensor positions are known perfectly. This correspondence can be used to equate position errors to an equivalent signal-to-noise ratio (SNR) for AWGN in performance evaluation. Finally, Cramer-Rao bound for the position perturbations that can be computed using the Cramer-Rao bound relations for the additive Gaussian noise case at high SNR's.

关键词： signal to noise ratio

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