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检索条件"任意字段=2008 IEEE Sensor Array and Multichannel Signal Processing Workshop"

共 1267 条记录，以下是701-710 订阅

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Unambiguous AOA estimation using SODA interferometry for electronic surveillance

Unambiguous AOA estimation using SODA interferometry for ele...

引用

sensor array and multichannel signal processing workshop

作者： Peter Q. C. Ly Stephen D. Elton Douglas A. Gray Joy Li Electronic Warfare and Radar Division Defence Science and Technology Organisation Edinburgh SA Australia School of Electrical and Electronic Engineering University of Adelaide Adelaide SA Australia

This paper presents two fast and computationally efficient interferometric algorithms that allow high accuracy, unambiguous angle-of-arrival (AOA) estimates to be obtained using physically large wideband antennas that are suitable for electronic surveillance. The performance of the algorithms are compared against conventional interferometric techniques using simulations and are also verified experimentally.

关键词： Antennas signal to noise ratio Delay Accuracy arrays Interferometry signal processing algorithms

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Random switch antenna array FMCW radar and its signal processing method

Random switch antenna array FMCW radar and its signal proces...

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sensor array and multichannel signal processing workshop

作者： Chenxi Hu Huadong Meng Wei Wang Gang Li Xiqin Wang Department of Electronic Engineering Tsinghua University Beijing China Xi'an Electronic Engineering Research Institute Xi'an China

ISBN: (纸本)9781467310703

In this paper, random switch antenna array (RSAA) is proposed to apply to the switch antenna array (SAA) frequency-modulated continuous-wave (FMCW) radar system. Firstly, the signal model and signal processing method of RSAA is analyzed and it shows that RSAA can successfully solve azimuth-velocity coupling problem. Then we suppose a method by using RSAA to reduce the switching frequency and sampling rate based on sparse signal representation with multiple measurement vectors (MMV). It is shown in simulations that the proposed algorithms yield better performance in terms of azimuth-velocity decoupling and can obtain high image accuracy with less observation data.

关键词： Switches arrays Radar antennas Antenna arrays Azimuth Radar Multiplexing

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Incorporating array nonidealities into adaptive Capon beamformer for source tracking

Incorporating array nonidealities into adaptive Capon beamfo...

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sensor array and multichannel signal processing workshop

作者： Mário Costa Visa Koivunen Department of Signal Processing and Acoustics SMARAD CoE Aalto University Aalto Finland

An adaptive algorithm for azimuth-angle estimation of moving sources in the presence of array nonidealities is proposed. The method, termed unitary element-space Capon (UESCapon) beamformer, is robust in the face of small number of snapshots and fully takes into account effects such as mutual coupling, mounting platform reflections, and sensor's misplacement errors. Unlike most of the robust beamformers available in the literature, the proposed method is based on QR-decomposition and real-valued polynomial root tracking. Furthermore, it is applicable to sensor arrays of arbitrary configuration. Numerical results using a real-world antenna array are included, illustrating the excellent performance of the proposed method, both in terms of SINR and fast adaptivity to moving sources.

关键词： arrays Robustness Direction of arrival estimation Polynomials signal to noise ratio Standards Calibration

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Steering vector non-identifiability in covariance matrix fitting based beamforming

Steering vector non-identifiability in covariance matrix fit...

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sensor array and multichannel signal processing workshop

作者： Michael Rübsamen Marius Pesavento Communication Systems Group Technische Universität Darmstadt Darmstadt Germany

Over the last decade, several robust adaptive receive beamformers based on covariance matrix fitting (CMF) techniques have been proposed. For these beamformers, the estimate of the signal steering vector is first matched to the sample covariance matrix. Subsequently, the minimum variance distortionless response beamformer weight vector is computed using the matched vector. The CMF problems are formulated using uncertainty sets for the signal steering vector. However, the signal steering vector is typically non-identifiable if only an uncertainty set for this vector and the array covariance matrix are known. In this paper, we numerically analyze the impact of this non-identifiability on the performance of CMF based beamformers.

关键词： Vectors Covariance matrix Uncertainty arrays Robustness Optimization array signal processing

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Multiple target tracking using a narrowband RF sensor array

Multiple target tracking using a narrowband RF sensor array

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sensor array and multichannel signal processing workshop

作者： Chris Kreucher Braham Himed Integrity Applications Inc. Ann Arbor MI USA RF Technology Branch AFRL/RYMD OH USA

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： Target tracking arrays Radar tracking Bayesian methods Joints Antennas

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Multiple source resolution for true time delay beam-space processing

Multiple source resolution for true time delay beam-space pr...

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sensor array and multichannel signal processing workshop

作者： Nathan Wilkins Arnab Shaw Eglin AFB US Air Force Research Laboratory Munitions Directorate FL USA Department of Electrical Engineering Wright State University Dayton OH USA

The authors examine a technique to apply coherent signal subspace processing in the beam-space of a bank of true time delay beamformers. The technique is shown to be capable of resolving closely spaced sources while being inherently wideband in nature, computationally less expensive than many previous wideband coherent integration techniques, and does not rely on a preliminary angle of arrival estimate. The technique is examined for performance with various levels of noise in the system compared to previous methods and the Cramer-Rao theoretical performance bound.

关键词： Wideband arrays Delay effects signal resolution signal to noise ratio Multiple signal classification Correlation

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Low-cost multi-channel underwater acoustic signal processing testbed

Low-cost multi-channel underwater acoustic signal processing...

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sensor array and multichannel signal processing workshop

作者： Koen C.H. Blom Rinse Wester André B.J. Kokkeler Gerard J.M. Smit Department of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands

Current systems for multi-channel underwater signal processing suffer from a tied relation between the hardware and physical layer software or require a large amount of engineering work. To provide a low-cost, small form factor and flexible solution, this work presents a multi-channel testbed consisting of an off-the-shelf FPGA board and a simple expansion board. Nonetheless, the proposed testbed provides the flexibility and processing power to evaluate novel multi-channel physical layer algorithms.

关键词： arrays Transducers Field programmable gate arrays Underwater acoustics Noise Hardware Physical layer

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A game-theoretic approach for energy-efficient detection in radar sensor networks

A game-theoretic approach for energy-efficient detection in ...

引用

sensor array and multichannel signal processing workshop

作者： Giacomo Bacci Luca Sanguinetti Maria S. Greco Marco Luise Dipartimento di Ingegneria dellInformazione University of Pisa Pisa Italy

In this work, we propose a distributed power control algorithm able to capture the tradeoff between detection capabilities and power consumption for a radar sensor network. This is achieved by modeling the radar sensors as rational agents engaging in a noncooperative game in which the detection threshold and the transmit power are properly designed according to the Nash equilibrium solution. An iterative algorithm based on a best-response dynamics is proposed to achieve the equilibrium point and its performance is compared to that achieved by a uniform power allocation.

关键词： Radar cross section Radar antennas Clutter Doppler radar Radar detection

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Compressive sensing in nonstationary array processing using bilinear transforms

Compressive sensing in nonstationary array processing using ...

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sensor array and multichannel signal processing workshop

作者： Yimin D. Zhang Moeness G. Amin Center for Advanced Communications Villanova University Villanova PA USA

Compressive sensing (CS) has successfully been applied to reconstruct sparse signals and images from few observations. For multi-component nonstationary signals characterized by instantaneous frequency laws, the sparsity exhibits itself in the time-frequency domain as well as the ambiguity domain. In this paper, we examine CS in the context of nonstationary array processing. We show that the spatial averaging of the ambiguity function across the array improves the CS performance by reducing both noise and cross-terms. The corresponding time-frequency distribution which is reconstructed through L 1 minimizations yields significant improvement in time-frequency signature localizations and characterizations.

关键词： Time frequency analysis arrays Compressed sensing Kernel Radar imaging Image reconstruction Noise

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Convex joint emitter localization and passive sensor network synchronization

Convex joint emitter localization and passive sensor network...

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sensor array and multichannel signal processing workshop

作者： Oren Jean Anthony J. Weiss School of Electrical Engineering Tel Aviv University Tel-Aviv Israel

PATENT PENDING. Time-of-arrival (TOA) localization is tightly coupled with sensor time synchronization. Synchronization can be obtained by GPS, atomic clocks or message exchange protocols. All methods affect the energy sources and the synchronization protocols use valuable bandwidth. We present self-synchronized localization algorithms that rely exclusively on TOA measurements performed by the sensor network on passing sources rendering it completely passive. Localization performance is close to that provided by a perfectly synchronized network. Such algorithms can also be used for sensor network synchronization and communication networks in general.

关键词： Synchronization Clocks Vectors Maximum likelihood estimation Joints Protocols

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