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ieee sensor array and multichannel signal processing workshop

作者： Roemer, Florian Haardt, Martin Tech Univ Ilmenau Commun Res Lab D-98684 Ilmenau Germany

ISBN: (纸本)9781424422401

In this paper we study the R-way Parallel Factor Analysis (also referred to as R-way PARAFAC) problem. This branch of multi-way signal processing has received increased attention recently which is due to the versatility of the model as well as the identifiability results demonstrating its superiority to matrix-only (2-way) approaches. In R-way PARAFAC analysis, the goal is to decompose an R-dimensional tensor into a minimal sum of rank-1 terms. So far, there exist sub-optimal closed-form solutions as well as iterative techniques for finding these decompositions. However, the latter often require many iterations to converge. In this contribution we demonstrate that the R-way PARAFAC decomposition can be reduced to a set of simultaneous matrix diagonalization problems. Exploiting the structure of the R-dimensional problem, we obtain several estimates for each of the factors and present a "best matching" scheme to select the best estimate for each factor. By means of computer simulations we compare our closed-form solution to an iterative technique and demonstrate the enhanced robustness in critical scenarios.

关键词： Multidimensional signal processing Parameter estimation array signal processing

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MULTIVARIATE SPECTRAL RECONSTRUCTION OF STAP COVARIANCE MATRICES: HERMITIAN "RELAXATION" AND PERFORMANCE ANALYSIS

MULTIVARIATE SPECTRAL RECONSTRUCTION OF STAP COVARIANCE MATR...

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ieee sensor array and multichannel signal processing workshop

作者： Abramovich, Yuri I. Johnson, Ben A. Spencer, Nicholas K. DSTO ISR Div Edinburgh Australia ITR Univ RLM Pty Ltd Edinburgh Australia DSTO ARI Pty Ltd Edinburgh Australia

ISBN: (纸本)9781424422401

In space-time adaptive processing (STAP) applications, temporally stationary clutter results in a Toeplitz-block clutter covariance matrix. In the reduced-order parametric matched filter STAP technique, this covariance matrix is reconstructed from a small number of estimated parameters, resulting in a much more efficient use of training samples. This paper explores a computationally advantageous "relaxed" maximum entropy (Burg) reconstruction technique which does not restore a strict Toeplitz-block structure, but does preserve the Burg spectrum. Performance of the reconstructed covariance matrix model as a STAP filter is evaluated using the DARPA KASSPER dataset and compared with "proper" Toeplitz-block reconstruction.

关键词： Toeplitz matrices covariance matrices autoregressive processes maximum entropy methods spacetime adaptive processing

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DETECTION AND LOCALIZATION OF EMITTERS IN THE PRESENCE OF MULTIPATH USING A UNIFORM LINEAR ANTENNA array

DETECTION AND LOCALIZATION OF EMITTERS IN THE PRESENCE OF MU...

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ieee sensor array and multichannel signal processing workshop

作者： Sarac, Ugur Harmanci, F. Kerem Akguel, Tayfun Istanbul Tech Univ Dept Elect & Commun Engn TR-80626 Istanbul Turkey Bogazici Univ Dept Elect & Elect Eng TR-80815 Bebek Turkey TUBITAK Natl Res Inst Elect & Cryptol Izmir Kocaeli Turkey TUBITAK Earth & Marine Sci Inst MRC Izmir Kocaeli Turkey

ISBN: (纸本)9781424422401

In this paper, we present a new application of the likelihood ratio test to solve the problem of enumeration and localization of multiple emitters (sources) with a uniform linear antenna array in a multi-path environment. First, spatial smoothing is applied to the antenna array data to decorrelate signals corresponding to each path in the estimated correlation matrix and the number of paths is then counted using an information theoretic criterion. Then, MUSIC is applied with this correlation matrix to estimate the angle of arrival of all possible incident paths. In our signal model, we assume that the correlation between signals from two paths is one if they originate from the same source but zero if they are from different sources. The likelihood ratio test is then applied to each path pair using this correlation model and the angles of arrival estimated by MUSIC in order to find out if the path pair originates from the same emitter, and hence the number of emitters and their angles of arrival are estimated. The proposed algorithm on the likelihood ratio test is compared with the correlation coefficient algorithm based on minimum variance beam-forming with a performance analysis.

关键词： Direction finding likelihood ratio antenna array MUSIC multipath

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Experiments in radio location estimation using an airbone array

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

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SAM 2008 - 5th ieee sensor array and multichannel signal processing workshop

作者： Tsuji, Hiroyuki Zheng, Jimeng Kaveh, Mostafa Yokosuka Japan Department of Electrical and Computer Engineering University of Minnesota Minneapolis MN United States

ISBN: (纸本)9781424422418

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. © 2008 ieee.

关键词： Radio transmission

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Second-order Improperness in Frequency-Domain Colored signal Model

Second-order Improperness in Frequency-Domain Colored Signal...

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ieee workshop on Machine Learning for signal processing

作者： Cong, Fengyu Ristaniemi, Tapani Univ Jyvaskyla Sch Informat Technol Jyvaskyla 40014 Finland

ISBN: (纸本)9781424423750

This study discusses the second-order improperness in the frequency-domain colored signal model. After the real-valued and colored signal in the time-domain is transformed into the frequency domain, the convolutive blind source separation (BSS) methods may generate a window indexed vector, and minimum variance distortionless response (MVDR) beamflorming may produce an array sensor indexed vector, and the trial structured EEG data set may provide a trial-indexed vector. These three complex-valued vectors have Such similarities: 1) despite of resulting from the Fourier transformation, they are not indexed by the frequency bins;2) its real part and image part are proved to be correlated. Hence, such a complex-valued vector is improper, and the pseudo-autocorrelation matrix of this improper vector exists. Moreover, if components of an improper complex-valued vector are uncorrelated, except the autocorrelation matrix, the pseudo-autocorrelation matrix should also be diagonal. This one more statistics could be useful to design better the complex-valued BSS algorithm and MVDR beamforming algorithm.

关键词： Frequency-domain colored signal model window indexed vector sensor indexed vector trial indexed vector second order improperness

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Wideband target tracking by using SVR-based sequential Monte Carlo method

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signal processing 2008年第11期88卷 2804-2816页

作者： Kabaoglu, Nihat Cirpan, Hakan A. Maltepe Univ Dept Elect Engn TR-34857 Istanbul Turkey Istanbul Univ Dept Elect & Elect Engn TR-34850 Istanbul Turkey

In this work. a support vector regression (SVR) based sequential Monte Carlo method is presented to track wideband moving sources using a linear and passive sensor array for a signal model based on buffered data. The SVR method is employed together with a particle filter (PF) method to improve the PF tracker performance when a small sample set is available. SVR is used as a sample producing scheme for the current state vector. To provide a good approximation of the posterior density by means of improving the sample diversity, samples (particles) are drawn from an importance density function whose mean and covariance are calculated by using the pre-estimating state vector and the state vector's previous estimate. Thus, a better posterior density than the classical one can be obtained. Simulation results show that the method proposed in this work performs better than the classical one when a small sample set is available. Moreover, the results also show that a modified signal model that utilizes buffering data is superior to the signal model in Ng et al. [Application of particle filters for tracking moving receivers in wireless communication systems, in: ieee workshop on signal processing Advances in Wireless Communications (SPAWC), Rome, Italy, June 2003, pp.575-579]. (C) 2008 Elsevier B.V. All rights reserved.

关键词： wideband array processing target tracking particle filters sequential Monte Carlo support vector machines support vector regression

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Bandwidth Efficient sensor Architectures with Feature Extraction

Bandwidth Efficient Sensor Architectures with Feature Extrac...

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37th Applied Imagery and Pattern Recognition workshop

作者： Caulfield, J. T. McCarley, P. L. Elliott, J. Massie, M. A. Cyan Syst Santa Barbara CA 93105 USA AF Res Lab Muniti Directorate Eglin AFB FL 32542 USA Nova Sensors Solvang CA 93463 USA

ISBN: (纸本)9781424431250

We report on processing techniques to effectively control the data bandwidth in larger format Focal Plane array (FPA) sensors. We have developed an image processing architecture for foveating variable acuity FPAs that give a controlled reduction in the data rate via simple circuits that estimate activity on the FPA image plane. Integrated on-FPA signal processing goals are to perform pre-processing that is usually performed downstream in a dedicated processing module. Techniques for image pre-processing described in this paper allow transmitting "active" pixel data while skipping unchanging pixels. These techniques for image pre-processing adjacent to the FPA allows significant reductions in the data rate, size, weight and power for small and low cost systems that cannot work with a large image processors.

关键词： Pixels

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Localization of diffracted seismic noice source using an array of seismic sensors

Localization of diffracted seismic noice source using an arr...

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sensor array and multichannel signal processing workshop

作者： Necati Gulunay CGGVeritas Research and Development Cairo Egypt

Seismic receiver arrays that are used in modern 3D marine surveys can also be used as 2D sensor arrays in the localization of the diffracted noise sources and hence allow attenuation of such noise from the seismic rec... 详细信息

关键词： Noise Receivers Diffraction Three dimensional displays arrays Imaging Earth

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Robust presteered broadband beamforming based on worst-case performance optimization

Robust presteered broadband beamforming based on worst-case ...

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sensor array and multichannel signal processing workshop

作者： Michael Rubsamen Alex B. Gershman Communication Systems Group Technische Universität Darmstadt Darmstadt Germany

In this paper, two robust presteered broadband (PB) beamformers are developed using worst-case designs. The proposed techniques are shown to enjoy a reduced computational complexity and/or significant performance improvements as compared to the existing robust wideband beamforming techniques in scenarios with array response errors.

关键词： Robustness array signal processing arrays Transfer functions signal to noise ratio Complexity theory Upper bound

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PERFORMANCE ANALYSIS OF ROOT-MUSIC-BASED DIRECTION-OF-ARRIVAL ESTIMATION FOR ARBITRARY NON-UNIFORM arrayS

PERFORMANCE ANALYSIS OF ROOT-MUSIC-BASED DIRECTION-OF-ARRIVA...

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2008 ieee sensor array and multichannel signal processing workshop

作者： Michael Rubsamen Alex B. Gershman Communication Systems Group Technische Universität Darmstadt Darmstadt Germany

We present the asymptotic performance analysis of the interpolated root-MUSIC and manifold separation (MS) techniques for direction-of-arrival (DOA) estimation in arbitrary non-uniform sensor arrays. Our analysis take... 详细信息

关键词： Direction-of-arrival estimation Non-uniform sensor arrays Root-MUSIC sensor array processing

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