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Algorithms for tracking with an array of magnetic sensors

Algorithms for tracking with an array of magnetic sensors

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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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Experiments in radio location estimation using an airbone array

Experiments in radio location estimation using an airbone ar...

引用

sensor array and multichannel signal processing workshop

作者： Hiroyuki Tsuji Jimeng Zheng Mostafa Kaveh New Generation Wireless Communications Research Center National Institute of Communications and Information Technologies Yokosuka Japan Department of Electrical and Computer Engineering University of Minnesota Minneapolis MN USA

the problem of interest is the determination of the location of a licensed or unlicensed source of radio transmission from air. Accordingly, an experiment was conducted in 2008 involving a two-dimensional antenna array mounted on a Zeppelin NT airship. this paper gives an overview of the experiment and some results obtained to date by post-processing of the collected data. A combination of angles of arrival estimation of radio sources and the proposed attitude correction technique gives an accurate location estimation of a radio source located in an urban area. We also verified the feasibility of localization system using on-board array antennas through the experiment.

关键词： arrays Antenna arrays Estimation Radio transmitters Robustness Receiving antennas Accuracy

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Fast subspace-based source localization methods

Fast subspace-based source localization methods

引用

sensor array and multichannel signal processing workshop

作者： J. Marot C. Fossati S. Bourennane GSM-Institut Fresnel / CNRS-UMR 6133 Ecole Centrale Marseille Marseilles France

Source localization is based on the spectral matrix algebraic properties. Propagator, and Ermolaev-Gershman (EG) noneigenvector algorithms exhibit a low computational load. Propagator is based on spectral matrix partitioning. EG algorithm obtains an approximation of noise subspace using an adjustable power parameter of the spectral matrix and choosing a threshold value. In this paper, we aim at demonstrating the usefulness of QR and LU factorizations of the spectral matrix to improve these methods. Experiments show that the modified propagator and EG algorithms based on factorized spectral matrix lead to better localization results, compared to the existing methods.

关键词： Matrices Noise signal processing algorithms signal to noise ratio Algorithm design and analysis sensors arrays

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thE HYBRID CRAMER-RAO BOUND AND thE GENERALIZED GAUSSIAN LINEAR ESTIMATION PROBLEM

THE HYBRID CRAMER-RAO BOUND AND THE GENERALIZED GAUSSIAN LIN...

引用

2008 ieee sensor array and multichannel signal processing workshop

作者： Y. Noam H. Messer School of Electrical Engineering Tel-Aviv University Israel

this paper explores the Hybrid Cramer-Rao Lower-bound (HCRLB) for a Gaussian generalized linear estimation problem in which some of the unknown parameters are deterministic while the other are random. In general, the HCRLB on the non-Bayesian parameters is not asymptotically tight. However, we show that for the generalized Gaussian linear estimation problem, the HCRLB of the deterministic parameters coincides with the CRLB, so it is an asymptotically tight bound. In addition, we show that the ML/MAP estimator [1] is asymptotically efficient for the non-Bayesian parameters while providing optimal estimate of the Bayesian parameters. the results are demonstrated on a signal processing example. It is shown the Hybrid estimation can increase spectral resolution if some prior knowledge is available only on a subset of the parameters.

关键词： Maximum likelihood estimation Estimation Bayesian methods Vectors Radio access networks Joints signal processing

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Canonical decomposition of even higher order cumulant arrays for blind underdetermined mixture identification

Canonical decomposition of even higher order cumulant arrays...

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sensor array and multichannel signal processing workshop

作者： Ahmad Karfoul Laurent Albera Lieven De Lathauwer INSERM U642 Rennes France Leuven Subfaculty Science and Technology Katholieke Universiteit Leuven Kortrijk Belgium

A new family of methods, named 2q-ORBIT (q > 1), is proposed in this paper in order to blindly identify potentially underdetermined mixtures of statistically independent sources. these methods are based on the canonical decomposition of q-th order (q ges 2) cumulants. the latter decomposition is brought back to the decomposition of a third order array whose one loading matrix is unitary. Such a decomposition is then computed by alterning and repeating two schemes until convergence: the first one consists in solving a Procrustes problem while the second one needs to compute the best rank-1 approximation of several q-th order arrays. Computer results show a good efficiency of the proposed methods with respect to classical cumulant-based algorithms especially in the underdetermined case.

关键词： Matrix decomposition sensors signal to noise ratio sensor arrays signal processing algorithms Equations Convergence

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Patterned complex-valued matrix derivatives

Patterned complex-valued matrix derivatives

引用

sensor array and multichannel signal processing workshop

作者： Are Hjorungnes Daniel P. Palomar UniK - University Graduate Center University of Oslo Kjeller Norway Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong China

A systematic and simple method is proposed for how to find the derivative of complex-valued matrix functions which depend on matrix arguments that contain patterns. the proposed method is developed by means of the chain rule and it is able to handle both linear and nonlinear patterns. One main issue of the proposed method is to identify a matrix function which depends on independent variables and its domain must have the same dimension as the dimension of the set of patterned matrices. In addition, this function must produce all the matrices within the pattern of interest. Some illustrative examples which are relevant for problems in the area of signal processing for communications are presented.

关键词： Matrices Jacobian matrices Symmetric matrices signal processing Matrix decomposition Presses Vectors

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On the generalization of blind source separation algorithms from instantaneous to convolutive mixtures

On the generalization of blind source separation algorithms ...

引用

sensor array and multichannel signal processing workshop

作者： Tiemin Mei Alfred Mertins Fuliang Yin Institute for Signal Processing University of Lübeck Lubeck Germany School of Information Science and Engineering Shenyang Ligong University Shenyang China School of Electronic and Information Engineering Dalian University of Technology Dalian China

Many convolutive blind source separation (BSS) approaches are generalized from instantaneous BSS methods in either time or frequency domain. In this paper, we establish in a general way the inner relationship between the time-domain instantaneous BSS and the frequency-domain convolutive BSS. From this point of view, the time-domain approaches for instantaneous mixture separation are generalized to those for convolutive mixture separation in the frequency domain. Two examples are given to illustrate the feasibility of the proposed approach.

关键词： Frequency domain analysis Source separation Time domain analysis Blind source separation Finite impulse response filter signal processing algorithms Joints

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Buried object localization using direct algorithm

Buried object localization using direct algorithm

引用

sensor array and multichannel signal processing workshop

作者： Zineb Mehel - Saidi Salah Bourennane Caroline Fossati CRAN-ESSTIN/UHP Vandoeuvre-les-Nancy France Institut Fresnel UMR CNRS 6133 Ecole Centrale Marseille Marseilles France

this study deals with buried object localization using a towed flexible array of sensors. So, the phases of the received signals deviate from the assumed plane wave model by the phase errors which are due to the random distortions of the antenna. In this letter, an objective function is defined and a new source steering vector including the acoustic scattering model at each sensor is proposed. the robust DIRECT (DIviding RECTangles) method is applied to minimize this objective function for estimating the bearings and the ranges of objects together with the phase errors. To decorrelate the received signals and to estimate the coherent signal subspace a fast focusing operator is proposed . the performance of the developed method is investigated on experimental data recorded during underwater acoustic experiments.

关键词： arrays sensors Acoustic distortion Phase distortion sensor arrays Buried object detection Focusing

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Optimizing the performance of the partial adaptive concentric ring array in the presence of prior knowledge

Optimizing the performance of the partial adaptive concentri...

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sensor array and multichannel signal processing workshop

作者： L. M. Vicente K. C. Ho Department of Electrical and Computer Engineering University of Missouri Columbia Columbia MO USA

the partial adaptive concentric ring array (CRA) has been successfully applied to 3D beamforming because of its flexibility, faster tracking ability and reduced computation with respect to the fully adaptive CRA. In some cases, prior knowledge regarding some interferences is available so that better beamformers can be designed. the previous method that exploits prior knowledge by using a fixed penalty factor could not guarantee in maintaining a low residual interference and noise level. We propose in this paper an adaptive beamformer that automatically seeks out the optimum penalty factor to achieve the best performance. the proposed beamformer outperforms the previous design in maintaining a higher output signal to interference and noise ratio, even after the characteristics of the interferences have changed. the performance of the proposed beamformer is evaluated through simulations.

关键词： arrays Interference signal to noise ratio Steady-state array signal processing Power generation Correlation

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NON-MYOPIC sensor SCHEDULING FOR A CENTRALIZED sensor NETWORK

NON-MYOPIC SENSOR SCHEDULING FOR A CENTRALIZED SENSOR NETWOR...

引用

2008 ieee sensor array and multichannel signal processing workshop

作者： Himanshu Shah Darryl Morrell Department of Electrical Engineering Arizona State University USA Department of Engineering Arizona State University USA

When tracking a target in a sensor network with constrained resources, the target state estimate error can be significantly reduced using non-myopic sensor scheduling strategies. Integer non-linear programming has been used to obtain myopic sensor schedules [1]. In this paper, we apply it to a non-myopic sensor scheduling scenario consisting of a network of acoustic sensors in a centralized sensor network;there is one fusion center that combines measurements to update target belief. We cast this problem, which we call the Central Node Scheduling problem, as an integer non-linear programming problem with the objective of minimizing the total predicted tracking error over an M step planning horizon subject to sensor usage and start-up cost constraints. Using Monte Carlo simulations, we show the benefits of this approach for the centralized sensor network.

关键词： Planning Target tracking Acoustics Acoustic measurements Approximation methods Schedules Scheduling

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