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68 篇 会议

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检索条件"任意字段=SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop"

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Wideband DOA estimation for nonuniform linear arrays with Wiener array interpolation

Wideband DOA estimation for nonuniform linear arrays with Wi...

引用

sensor array and multichannel signal processing workshop

作者： T. Kaya Yasar T. Engin Tuncer Electrical and Electronics Engineering Department M.E.T.U. Ankara Turkey

Coherent wideband DOA estimation for non-uniform linear arrays (NLA) is considered. array interpolation is used for two mappings. In the first mapping, NLA is mapped to a uniform linear array with the same array aperture. In the second mapping covariance matrices for each frequency bin are mapped to a single one at the center frequency for coherent DOA estimation. A Wiener formulation is used for array interpolation where both signal and noise powers are estimated with maximum likelihood method. Different approaches are compared and the advantages of wideband processing versus narrowband processing are outlined. the accuracy of the SNR estimation is high and it is shown that Wiener array interpolation significantly improves the DOA estimation performance in both narrowband and wideband processing.

关键词： Interpolation Wideband Direction of arrival estimation Covariance matrix signal to noise ratio array signal processing Estimation

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array self-calibration using SAGE algorithm

Array self-calibration using SAGE algorithm

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sensor array and multichannel signal processing workshop

作者： Pei-Jung Chung Shuang Wan Institute for Digital Communications School of Engineering and Electronics University of Edinburgh UK

the performance of most existing array processing algorithms relies heavily on the precise knowledge of array manifold, which is decided by individual sensor characteristics and array configuration. A major challenge for self-calibration techniques is the increased computational burden due to additional perturbation parameters. In this contribution, a novel procedure for array self-calibration is presented. We apply the well known numerical method, the Space Alternating Generalized EM algorithm (SAGE), to simplify the multi-dimensional search procedure required for finding maximum likelihood (ML) estimates. Simulation shows that the proposed algorithm outperforms existing methods that are based on the small perturbation assumption. Furthermore, the proposed algorithm remain robust in critical scenarios including large sensor position errors and closely located signals.

关键词： arrays Direction of arrival estimation signal to noise ratio Calibration Noise Estimation signal processing algorithms

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Resolution enhancement by HOS for small planar arrays

Resolution enhancement by HOS for small planar arrays

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sensor array and multichannel signal processing workshop

作者： Ulrich R.O. Nickel FGAN-FKIE Dept Sensor Data and Information Fusion Wachtberg Germany

Higher Order Statistics (HOS) have been proposed to achieve improvements over second order statistics array processing for various applications. We investigate the potential for angle estimation and source resolution with a very small planar array with 3 elements. We use the MUSIC method as generic DOA estimator. Using standard array theory we evaluate conditions under which an improvement in resolution can be obtained. A critical feature is the higher sensitivity of HOS methods to sources of unequal power. In this case standard MUSIC can perform better. A parallel complementary use of both methods is therefore recommended.

关键词： arrays Music Planar arrays Estimation Finite element methods Eigenvalues and eigenfunctions Apertures

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OPTIMAL NODE DENSITY FOR TWO-DIMENSIONAL sensor arrayS

OPTIMAL NODE DENSITY FOR TWO-DIMENSIONAL SENSOR ARRAYS

引用

2008 ieee sensor array and multichannel signal processing workshop

作者： Youngchul Sung H. Vincent Poor Heejung Yu Dept. of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea Dept. of Electrical Engineering Princeton University Princeton NJ USA

the problem of optimal node density for ad hoc sensor networks deployed for making inferences about two dimensional correlated random fields is considered. Using a symmetric first order conditional autoregressive Gauss-Markov random field model, large deviations results are used to characterize the asymptotic per-node information gained from the array. this result then allows an analysis of the node density that maximizes the information under an energy constraint, yielding insights into the trade-offs among the information, density and energy.

关键词： signal to noise ratio Correlation sensors Ad hoc networks Noise Noise measurement Lattices

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Broadband beamspace adaptive beamforming with spatial-only information

Broadband beamspace adaptive beamforming with spatial-only i...

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sensor array and multichannel signal processing workshop

作者： Wei Liu Stephan Weiss Department of Electronic & Electrical Engineering Communications Research Group University of Sheffield UK Institute of Comms & Signal Processing Department of Electronic & Electrical Engineering University of Strathclyde UK

A broadband beamspace adaptive beamforming structure for rectangular arrays is proposed. A set of frequency invariant beams are formed pointing to different directions and only one weight is attached to each of the beam outputs. Due to the greatly reduced number of adaptive weights, the system can achieve a much faster convergence speed. Compared to the existing broadband beamspace adaptive methods, the advantage of the proposed method is that there is no temporal processing of the received sensor signals, such as the tapped delay-lines or IIR/FIR filters. therefore it is a system employing spatial-only information.

关键词： array signal processing Adaptive arrays Broadband communication Finite impulse response filter Broadband antennas Adaptive filters IIR filters

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Optimal power allocation in opportunistic relaying with outdated CSI

Optimal power allocation in opportunistic relaying with outd...

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sensor array and multichannel signal processing workshop

作者： Jose Lopez Vicario Antoni Morell Albert Bel Gonzalo Seco-Granados Group of Signal Processing for Communications and Navigation (SPCOMNAV) Universitat Autonoma de Barcelona (UAB) Barcelona Spain

In this paper, we study the impact of outdated channel state information (CSI) on a cooperative system based on opportunistic relay selection (ORS). the study is carried out by obtaining an analytical expression for the outage probability, defined as the probability that the instantaneous mutual information is lower than a target rate. Besides, we propose the optimal power allocation aimed at minimizing the outage probability when the available CSI is subject to impairments. As shown in the paper, the proposed strategy provides significant gains when compared with uniform power allocation.

关键词： Relays Resource management Decoding signal to noise ratio Gain Encoding Tin

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Compressed sensing of Gauss-Markov random field with wireless sensor networks

Compressed sensing of Gauss-Markov random field with wireles...

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sensor array and multichannel signal processing workshop

作者： Anand Oka Lutz Lampe Department of Electrical and Computer Engineering University of British Columbia Canada

We propose a scalable and energy efficient method for reconstructing a dasiasparsepsila Gauss-Markov random field that is observed by an array of sensors and described over wireless channels to a fusion center. the encoder is universal, i.e. invariant to the statistical model of the source and the channel, and is based on compressed sensing. the reconstruction algorithms exploit the a-priori statistical information about the field and the channel at the fusion center to yield a performance comparable to information theoretic bounds. Furthermore, by putting stringent constraints on the sensing matrix we avoid (or even eliminate) inter-sensor communication while suffering negligible degradation in performance.

关键词： sensors Wireless sensor networks Data mining AWGN Minimization Rate-distortion Encoding

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A DUAL-LINEAR PREDICTOR APPROACH TO BLIND SOURCE EXTRACTION FOR NOISY MIXTURES

A DUAL-LINEAR PREDICTOR APPROACH TO BLIND SOURCE EXTRACTION ...

引用

2008 ieee sensor array and multichannel signal processing workshop

作者： Wei Liu Danilo P. Mandic Andrzej Cichocki Department of Electronic & Electrical Engineering University of Sheffield UK Department of Electrical & Electronic Engineering Imperial College London UK Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN Institute of Physical and Chemical Research Japan Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN Japan

A second-order statistics based dual-linear predictor structure is proposed for blind source extraction from noisy instantaneous mixtures. the noise component is assumed to be spatially and temporally white, but the variance information of noise is not required. A detailed proof of the proposed approach is provided and an adaptive algorithm is developed. Simulation results show that it can extract the source signals successfully.

关键词： Blind Source Extraction Linear Predictor Noisy Mixtures Second-order Statistics

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Uniform and nonuniform V-shaped isotropic planar arrays

Uniform and nonuniform V-shaped isotropic planar arrays

引用

sensor array and multichannel signal processing workshop

作者： Tansu Filik T. Engin Tuncer Department Electrical and Electronics Engineering Middle East Technical University Ankara Turkey

In this study, isotropic V-shaped uniform and nonuniform arrays are considered. An isotropic array has the same value for the Cramer-Rao bound (CRB) for all direction of arrival (DOA) angles. the conditions for isotropic V-shaped arrays are presented and closed form expressions for V-shaped uniform and nonuniform arrays are found. these expressions return the V-angle for the array. therefore, given the number of sensors and sensor displacements, isotropic performance V-angle can be found easily. V-shaped arrays are compared with circular arrays and it is also shown that both uniform and nonuniform V-shaped arrays have certain advantages.

关键词： arrays sensors Azimuth Estimation Direction of arrival estimation sensor arrays Geometry

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Algorithms for tracking with an array of magnetic sensors

Algorithms for tracking with an array of magnetic sensors

引用

sensor array and multichannel signal processing workshop

作者： Richard J. Kozick Brian M. Sadler Bucknell University Lewisburg PA USA Army Research Laboratory Adelphi MD USA

We consider the problem of tracking a magnetic target as it travels in a straight-line path in the vicinity of N magnetic sensors. the target is modeled as a magnetic dipole, and we study tracking algorithms when the sensors are total-field (scalar) magnetometers and vector magnetometers. A novel, computationally-efficient vector-field algorithm is presented that jointly processes the data from N sensors, yielding estimates of the track and the target dipole moment vector. Simulation examples are included to illustrate the performance of the total-field and vector algorithms.

关键词： sensors Magnetic sensors Target tracking Magnetic field measurement Magnetometers Magnetic fields Magnetostatics

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