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检索条件"任意字段=2nd IEEE Sensor Array and Multichannel Signal Processing Workshop"

共 469 条记录，以下是251-260 订阅

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ANALYSIS OF THE CRAMER-RAO BOUnd INTEGRATING A PRIOR-KNOWLEDGE

ANALYSIS OF THE CRAMER-RAO BOUND INTEGRATING A PRIOR-KNOWLED...

引用

2nd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMPSAP 2007)

作者： Remy Boyer L2S CNRS Université Paris-Sud XI France

Introducing prior-knowledge of some damped/undamped poles in the estimation of the parameters of a mutli-poles sinusoidal model is an important problem as for instance in bearing estimation or in biomedical signal analysis. The principle is to orthogonally project the data onto the noise space associated with the known poles. As the Cramer-Rao Lower Bound (CRB) gives a benchmark against which algorithms performance can be compared, it is useful to derive the CRB associated with this model, named Prior-CRB (P-CRB). In particular, we analyze this bound in the context of close subspaces context, ie., when the known poles are close to the unknown ones.

关键词： signal analysis sensor arrays signal to noise ratio Uninterruptible power systems Parameter estimation Direction of arrival estimation signal processing algorithms Tellurium Damping Biomedical signal processing

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THE "HOOK And LOOP" RESAMPLING PLANE

THE "HOOK AND LOOP" RESAMPLING PLANE

引用

2nd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMPSAP 2007)

作者： D. Robert Iskander Weaam Alkhaldi Contact Lens & Visual Optics Laboratory School of Optometry Queensland University of Technology Brisbane QLD Australia Signal Processing Group Institute for Communications Technische Universitat Darmstadt Darmstadt Germany

We propose a new resampling scheme that takes literally the concept of the non-parametric bootstrap in which new samples are generated from the empirical distribution function. The introduced resampling concept is totally heuristic, but already shows promising results when applied to model selection. We show that for a range of linear models, the proposed resampling scheme outperforms the classical model selection techniques as well as its predecessor, the non-parametric bootstrap. It also simplifies the practical problem of choosing residual scaling or the length of the subsample that exists in the traditional bootstrap based model selection approach.

关键词： Yttrium Equations Lenses Optical signal processing Kelvin Australia Distribution functions signal processing Random variables

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FAST LOW-RANK APPROXIMATION FOR COVARIANCE MATRICES

FAST LOW-RANK APPROXIMATION FOR COVARIANCE MATRICES

引用

2nd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMPSAP 2007)

作者： Mohamed-Ali Belabbas Patrick J. Wolfe School of Engineering and Applied Sciences Department of Statistics Harvard University Cambridge MA USA

Computing an efficient low-rank approximation of a given positive definite matrix is a ubiquitous task in statistical signal processing and numerical linear algebra. The optimal solution is well known and is given by the singular value decomposition;however, its complexity scales as the cube of the matrix dimension. Here we introduce a low-complexity alternative which approximates this optimal low-rank solution, together with a bound on its worst-case error. Our methodology also reveals a connection between the approximation of matrix products and Schur complements. We present simulation results that verify performance improvements relative to contemporary randomized algorithms for low-rank approximation.

关键词： Covariance matrix signal processing algorithms Matrix decomposition Analytical models Approximation algorithms Symmetric matrices Statistics signal processing Linear algebra Singular value decomposition

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MIMO RELAYING FOR MULTI-POINT TO MULTI-POINT COMMUNICATION IN WIRELESS NETWORKS

MIMO RELAYING FOR MULTI-POINT TO MULTI-POINT COMMUNICATION I...

引用

2nd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMPSAP 2007)

作者： Batu K. Chalise L. Vandendorpe J. Louveaux Communications and Remote Sensing Laboratory Universitè catholique de Louvain Louvain-la-Neuve Belgium

In this paper, we propose a relaying scheme that uses a fixed multiple-input-multiple-output (MIMO) relay to improve the performance of the multi-point to multi-point communication in wireless networks. Under the assumption that the perfect channel state information (CSI) is known, we propose the MIMO relay which minimizes its total transmit power by satisfying the signal-to-interference-and-noise-ratio (SINR) requirement for all destinations. This paper shows that the aforementioned problem is non-convex but it can be relaxed to a convex problem using the semidefinite relaxation technique. Computer simulations show that the proposed MIMO relay outperforms the conventional all-pass MIMO relay.

关键词： MIMO Relays Wireless networks signal processing Downlink signal to noise ratio Receiving antennas Intelligent networks Remote sensing Laboratories

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A LOWER BOUnd FOR SEQUENTIAL ESTIMATORS

A LOWER BOUND FOR SEQUENTIAL ESTIMATORS

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2nd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMPSAP 2007)

作者： Guillaume Bouleux Remy Boyer EA-LASPI Université Jean Monnet France L2S CNRS SUPELEC Universite Paris XI France

A popular class of parameter estimation method is based on a sequential/iterative scheme. In this framework, each component is estimated one by one and at each iteration the underlying model is based on the estimation of a single component corrupted by a structured interference (the other components) and by an unstructured Gaussian noise. So, in the context of the bearing estimation problem, we derive the deterministic Cramer-Rao Bound, called Interfering CRB (I-CRB), associated with this model. In particular, we show that for low Interference to Noise Ratio (INR), the I-CRB reaches the CRB for a single component (without structured interference). Inversely, for high INR, the I-CRB is equal to the Prior-CRB where we assume the exact knowledge of the structured interference. In addition, we show that in the closely-spaced bearings, the I-CRB has two typical regimes depending of the INR.

关键词： Interference Gaussian noise Parameter estimation signal processing algorithms Direction of arrival estimation Radar signal processing signal analysis Iterative methods Context modeling signal to noise ratio

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PARTICLE FILTERING-BASED TARGET TRACKING IN BINARY sensor NETWORKS USING ADAPTIVE THRESHOLDS

PARTICLE FILTERING-BASED TARGET TRACKING IN BINARY SENSOR NE...

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2nd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMPSAP 2007)

作者： Mahesh Vemula Monica F. Bugallo Petar M. Djuric Department of Electrical and Computer Engineering Stony Brook University Stony Brook NY USA

Target tracking in wireless sensor networks with constrained resources is a challenging problem. In this paper we consider scenarios where sensors sense an object of interest and process the received measurements using adaptive thresholds to obtain quantized data in the form of two levels. The data are quantized to address resource constraints in sensor networks. The processed data are then sent to a fusion center which resolves the tracking problem by means of a particle filter which can handle non-linearities in the state model. The performance of various strategies for threshold adaptation is studied by computer simulations and the results reveal that improvement is obtained over scenarios with fixed thresholds.

关键词： Monte Carlo methods Target tracking Adaptive signal processing

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SEQUENTIAL MONTE CARLO METHODS FOR SHALLOW WATER TRACKING USING MULTIPLE sensorS WITH ADAPTIVE FREQUENCY SELECTION

SEQUENTIAL MONTE CARLO METHODS FOR SHALLOW WATER TRACKING US...

引用

2nd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMPSAP 2007)

作者： Jun Zhang Antonia Papandreou-Suppappola Department of Electrical Engineering Arizona State University Tempe AZ USA

We propose a matched-field processing framework for tracking problems in shallow water environments where the conventional plane-wave assumptions do not hold. Multiple passive acoustic sensors are employed to collect observation data, and sequential Monte Carlo techniques are used for tracking due to the high nonlinearity in the dynamic state formulation. In order to enhance the tracking performance, we design a frequency selection algorithm which adaptively chooses the optimal observation frequency for the sensors at each time instant. The improved tracking performance is demonstrated using simulations.

关键词： Frequency Target tracking Acoustic sensors Underwater tracking Water resources signal processing algorithms Transfer functions State estimation Acoustic propagation Sea surface

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A synthetic acoustic volumetric array

A synthetic acoustic volumetric array

引用

4th ieee sensor array and multichannel signal processing workshop

作者： Rigelsford, Jonathan M. Tennant, Alan Univ Sheffield Dept Elect & Elect Engn Sheffield S1 3JD S Yorkshire England

This paper presents a novel synthetic aperture method, which can be used to reduce the average sidelobe level of a random spherical volumetric array. The technique exploits a general property of random arrays in which... 详细信息

ISBN: (纸本)1424403081

关键词： Ultrasonography

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Discriminating between stationary and time-varying autoregressive (TVAR) models in array processing

Discriminating between stationary and time-varying autoregre...

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4th ieee sensor array and multichannel signal processing workshop

作者： Abramovich, Y. I. Turley, M. D. E. Spencer, N. K. DSTO Labs 200 ISRD POB 1500 Edinburgh SA 5111 Australia DSTO Labs 200 ISRD Cooperat Res Ctr Sensor Signal & Informat Proc Edinburgh SA 5111 Australia

For a set of T independent N-variate Gaussian training samples (T < N), we derive a test for discriminating between stationary autoregressive models of order m, AR(m), and time-varying autoregressive models of orde... 详细信息

ISBN: (纸本)1424403081

关键词： array processing

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Large phased array radar using networked small parabolic reflectors

Large phased array radar using networked small parabolic ref...

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4th ieee sensor array and multichannel signal processing workshop

作者： Amoozegar, Farid CALTECH Jet Prop Lab Pasadena CA 91109 USA

ISBN: (纸本)1424403081

Multifunction phased array systems with radar, telecom, and imaging applications have already been established for flat plate phased arrays of dipoles, or waveguides. In this paper the design trades and candidate options for combining the radar and telecom functions of the deep space network (DSN) into a single large transmit array of small parabolic reflectors will be discussed. In particular the effect of combing the radar and telecom functions on the sizes of individual antenna apertures and the corresponding spacing between the antenna elements of the array will be analyzed. A heterogeneous architecture for the DSN large transmit array is proposed to meet the radar and telecom requirements while considering the budget, scheduling, and strategic planning constrains.

关键词： Radar systems

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