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

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Collaborative classification applications in sensor networks

Collaborative classification applications in sensor networks

引用

2nd IEEE sensor array and multichannel signal processing workshop

作者： Meesookho, C Narayanan, S Raghavendra, CS Univ So Calif Dept Elect Engn Los Angeles CA 90089 USA

ISBN: (纸本)0780375513

Distributed sensor networks are a significant technology nowadays. Inexpensive, smart devices with multiple sensors provide opportunities for instrumenting, monitoring and controlling targeting systems. Such sensor nodes have capability for acquiring and embedded-processing of variety of data forms. Collaborative signal processing and fusion algorithms are needed to aggregate the distributed data from among the nodes in the network, including possibly multiple modalities of data within a sensor node, to make decisions in a reliable and efficient manner. One of the important sensor network applications is target classification in battlefields. This paper presents improved moving vehicle target classification performance using data obtained from sensor networks with collaboration both across nodes and within a node in terms of multimodal fusion. Results show that a 50% relative improvement in classification error can be obtained using collaboration both in the case of single vehicle target and those involving multi-vehicle convoys.

关键词： sensor nodes

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Hybrid Particle Filtering based on an Elitist Resampling Scheme 10

Hybrid Particle Filtering based on an Elitist Resampling Sch...

引用

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

作者： Halimeh, Mhd Modar Huemmer, Christian Brendel, Andreas Kellermann, Walter Friedrich Alexander Univ Erlangen Nurnberg Multimedia Commun & Signal Proc Cauerstr 7 D-91058 Erlangen Germany

ISBN: (纸本)9781538647523

In this paper, the elitist resampling particle filter (ERPF) is introduced. The ERPF is an approach to combine generic particle filters, i.e., the SIS and SIR particle filter, based on an evolutionary selection of particles, which introduces a long-term memory to the selected group of the particles. Thereby, the ERPF aims at fusing the advantages, e.g., robustness and computational efficiency, and mitigating the drawbacks of each filter, e.g., degeneracy and sample impoverishment. Two variants of the ERPF are presented in this paper: the discrete ERPF (DERPF) and the continuous ERPF (CERPF), which to the authors' knowledge represent new forms of particle filters. The two proposed hybrids are compared to the corresponding original filters using two well-established benchmark models to illustrate that the evolutionary combinations provide a better estimation accuracy and exhibit an increased robustness against outliers.

关键词： Estimation Particle filters Robustness Sociology Statistics array signal processing"

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Sparse Channel Estimation for IRS-Aided Systems Exploiting 2-D Sparse arrays 12

Sparse Channel Estimation for IRS-Aided Systems Exploiting 2...

引用

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

作者： Haider, Mirza Asif Chowdhury, Md. Waqeeb T. S. Zhang, Yimin D. Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA

ISBN: (纸本)9781665406338

Intelligent reflecting surface (IRS) is a promising next-generation technology for increasing channel capacity and reducing power consumption. In this paper, we present a novel IRS configuration consisting of a small number of active elements in an optimized L-shaped sparse array to separately estimate the channels between the base station and the IRS, and the channel between multiple user equipment and the IRS. Structured matrix completion techniques are used to attain superior direction-ofarrival estimation performance with an increased number of degrees of freedom. The training overhead is minimized in the proposed system and is not directly related to the number of IRS reflecting elements. The proposed sparse array strategy simultaneously resolves multiple sources with a high accuracy and outperforms the L-shaped uniform array counterpart using the same number of active elements. The effectiveness of the proposed strategy is confirmed using simulation results.

关键词： Intelligent reflecting surface active elements sparse array structured matrix completion channel estimation

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Tracking Simplified Shapes Using a Stochastic Boundary

Tracking Simplified Shapes Using a Stochastic Boundary

引用

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

作者： Zea, Antonio Faion, Florian Baum, Marcus Hanebeck, Uwe D. Karlsruhe Inst Technol KIT Inst Anthropomat & Robot Intelligent Sensor Actuator Syst Lab ISAS Karlsruhe Germany Univ Connecticut Storrs CT USA

ISBN: (纸本)9781479914814

When tracking extended objects, it is often the case that the shape of the target cannot be fully observed due to issues of visibility, artifacts, or high noise, which can change with time. In these situations, it is a common approach to model targets as simpler shapes instead, such as ellipsoids or cylinders. However, these simplifications cause information loss from the original shape, which could be used to improve the estimation results. In this paper, we propose a way to recover information from these lost details in the form of a stochastic boundary, whose parameters can be dynamically estimated from received measurements. The benefits of this approach are evaluated by tracking an object using noisy, real-life RGBD data.

关键词： EXTENDED OBJECTS information loss Ellipsoid tracking Stochastic Boundary boundary layer Shape Targets Noise tracking objects

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Mainlobe Deceptive Jammer Suppression with FDA-MIMO Radar 10

Mainlobe Deceptive Jammer Suppression with FDA-MIMO Radar

引用

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

作者： Xu, Jingwei Kang, Jialin Liao, Guisheng So, Hing Cheung Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China City Univ Hong Kong Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781538647523

Anti-jamming technique has become an increasing demand in radar systems due to the fast development of electronic countermeasures. To alleviate the extremely difficult deceptive jammer suppression problem, frequency diverse array (FDA) based multiple-input multiple-output (MIMO) radar is devised and a sample selection based deceptive jammer suppression method is developed. The basic principle of the FDA-MIMO radar regarding its superiority in canceling the deceptive jammers is studied in detail. In order to handle the pseudo-random distribution issue of false targets within the secondary training samples, a subspace projection based sample selection method is proposed. When certain a priori knowledge of the true target is available, the time-delayed false targets can be adequately suppressed, even if the latter are in the mainlobe direction. Simulation examples demonstrate the effectiveness of our solution.

关键词： Jamming array signal processing Delay effects Radar countermeasures Doppler radar"

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CRB analysis of the impact of unknown receiver noise on phased array calibration

CRB analysis of the impact of unknown receiver noise on phas...

引用

4th IEEE sensor array and multichannel signal processing workshop

作者： van der Tol, Sebastiaan Wijnholds, Stefan J. Delft Univ Technol Dept Elect Engn DIMES Mekelweg 4 NL-2628 CD Delft Netherlands ASTRON R&D Dept NL-7991 PD Dwingeloo Netherlands

ISBN: (纸本)1424403081

In radio astronomy images are made of astronomical objects as they appear at radio frequencies using a technique called aperture synthesis. Signats from several antennas are correlated and integrated over time. The data collected over several hours are further processed to calibrate the instrument and to form an image or intensity map. The calibration and imaging algorithms do not use the autocorrelations because the receiver noise is unstable and hence considered unknown. In literature the Cramer Rao Bound for the calibration problem has been derived assuming that the autocorrelations are part of the available data. If the assumption is correct that the autocorrelations do not contain useful information when the receiver noise is unknown, than the CRB for the case that the autocorrelations are not part of the data will be the same. In this paper we will derive the CRB excluding the autocorrelations and show that it indeed does not matter whether the autocorrelations are included or not.

关键词： Spurious signal noise

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Mismatch Loss Constrained Instrumental Variable Filtering for GSM Passive Bistatic Radar

Mismatch Loss Constrained Instrumental Variable Filtering fo...

引用

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

作者： Bahlke, Florian Zemmari, Reda Nickel, Ulrich Pesavento, Marius Univ Sci Darmstadt Commun Syst Grp D-64283 Darmstadt Germany Fraunhofer FKIE Sensor Data & Informat Fus Dept D-53343 Wachtberg Germany

ISBN: (纸本)9781479914814

In this paper we address the design and evaluation of a mismatched filter for application in GSM passive bistatic radar (PBR). We discuss various exisiting approaches for the filter design, which originate from active radar systems and have to be adapted for PBR. Our proposed method minimizes the L-p-norm of the sidelobe level energies under an upper-bound constraint on the SNR loss relative to the matched filter. We show the suitibility of this approach for GSM based PBR and give a performance evaluation. Based on simulated and measured data, we show that the proposed filter can improve range resultion and target detection of the PBR system.

关键词： mismatch loss Pebble bed reactors TSPO gene passive bistatic radar Global mobile communication-systems wireless phone filter design Performance Evaluation matched filters Object detection

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Enhanced broadband matched field processing through high resolution techniques

Enhanced broadband matched field processing through high res...

引用

2nd IEEE sensor array and multichannel signal processing workshop

作者： Bendjama, A Bourennane, S Cors Univ SPE CNRS UMR 6134 F-20250 Corte France

ISBN: (纸本)0780375513

One of the important problems in ocean acoustics is to localize an underwater wideband sound source from the array hydrophone data. Among the algorithms developed, estimation of source parameters via maximum likelihood or beamfonning techniques have been greatly exploited. This paper introduce two algorithms for estimating the wideband parameters. These algorithms are based on the statistics of the received signals : Firstly, a blind algorithm initially introduced by Friedlander et al. [l] is extended to this problem. Secondly a Maximum Likelihood estimator is developed. The performance of the proposed algorithms are studied on the real data recorded during an underwater acoustic experiments. © 2002 IEEE.

关键词： Underwater acoustics

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Energy Efficient Resource Optimization for a Downlink NOMA Heterogeneous Small-cell Network 10

Energy Efficient Resource Optimization for a Downlink NOMA H...

引用

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

作者： Fang, Fang Cheng, Julian Ding, Zhiguo Poor, H. Vincent Univ Manchester Sch Elect & Elect Engn Manchester M13 9PL Lancs England Univ British Columbia Sch Engn Kelowna BC V1V 1V7 Canada Princeton Univ Dept Elect Engn Princeton NJ 08544 USA

ISBN: (纸本)9781538647523

Non-orthogonal multiple access (NOMA) is considered to be a key technology for fifth-generation mobile communication networks due to its superior spectral efficiency. In this paper, the problem of energy efficient subchannel and power allocation is investigated for a downlink NOMA heterogeneous network. The energy efficient resource allocation problem is first formulated as a mixed integer nonconvex optimization problem. By exploiting convex relaxation and dual decomposition techniques, a closed-form expression is derived via a Lagrangian approach. Simulation results show that the proposed algorithm can converge within ten iterations and obtain high system energy efficiency.

关键词： Resource management NOMA Interference Macrocell networks Sun Downlink array signal processing"

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Spectrum estimation from quantum-limited interferograms

Spectrum estimation from quantum-limited interferograms

引用

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

作者： Fuhrmann, DR O'Sullivan, JA Snyder, DL Smith, WH Washington Univ Dept Elect Engn St Louis MO 63130 USA

ISBN: (纸本)0780363396

A quantitative model for interferogram data collected in a quantum-limited hyperspectral imaging system is derived. This model accounts for the geometry of the interferometer the Poisson noise, and the parameterization of the mean of the noise in terms of the autocorrelation function of the incident optical signal. An estimation-theoretic approach to recovering the image spectrum is derived, based on the likelihood function for the received data. The computations proposed constitute an alternating minimization algorithm.

关键词： Autocorrelation Hyperspectral imaging Hyperspectral sensors Optical imaging Optical interferometry Optical noise Optical sensors Optical signal processing Spectral analysis Spectroscopy

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