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4th ieee sensor array and multichannel signal processing workshop

作者： Park, Cheol-Sun Jang, Won Kim, Dae-Young Agcy Def Dev EW Lab Taejon South Korea Chungnam Natl Univ Dept Informat & Commun Engn Chungnam South Korea

ISBN: (纸本)1424403081

the resolving ambiguity of phase interferometer is necessary when the baseline separation between elements exceeds half wavelength since the phase difference between elements can only be measured modulo 2 pi. It is difficult to meet the condition the minimum distance between two antennas is less than half wavelength for avoiding ambiguity in wideband operation. In this paper, we propose a simple and efficient array design method which minimizes the probability of ambiguity. this method adapts NLA (nonuniform linear array) geometry. And there is no need to maintain the distance between antennas less than half wavelength. We also show some numerical examples and experimental results of the 2-D array prototype for airborne application.

关键词： antenna array directional of array (DOA) estimation NLA( nonuniform linear array)

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Optical array aspects of Computed Spectroscopy™

Optical array aspects of Computed Spectroscopy™

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4th ieee sensor array and multichannel signal processing workshop

作者： Hoctor, Ralph T. Wheeler, Frederick W. Barrett, Eamon B. GE Global Res Niskayuna NY 12309 USA ATC Lockheed Martin Space Syst Sunnyvale CA 94089 USA

ISBN: (纸本)1424403081

Computed Spectroscopy (TM) (CS) is a new approach to hyperspectral imaging recently introduced by the authors [1]*. the CS technique uses an adjustable optical array, which can be considered to be a form of delay-and-sum passive beamformer. Adopting this point of view, such an array can be analyzed using the (difference) coarray [2], and a previous publication by the present authors [1] features a brief coarTay-based analysis. In the present paper we review the Computed Spectroscopy method, give a coarray-based analysis of the approach, show how numerical problems arise in the reconstruction of wavenumber spectra at low spatial frequencies and give a method for addressing these problems in the computation. Additionally, we discuss an improved approach to discretization of the image formation model.

关键词： array processing

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Real-time implementation of a distributed voice activity detector

Real-time implementation of a distributed voice activity det...

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4th ieee sensor array and multichannel signal processing workshop

作者： Berisha, Visar Kwon, Hornin Spanias, Andreas Arizona State Univ Dept Elect Engn Tempe AZ 85287 USA

ISBN: (纸本)1424403081

Wireless sensor networks have been applied successfully in real-time distributed and collaborative sensing. In these situations, each sensor is responsible for extracting pertinent information from the surrounding environment and transmitting it to other sensors and/or to the main processing station. this is done while operating under several constraints, such as low computational capabilities, limited arithmetic precision, and the need to conserve power. In this paper, we present a low-complexity voice activity detector and a gender classifier for implementation on the Crossbow sensor motes. In addition, a decision fusion algorithm that resides at the base station is also implemented. A series of experiments that characterize the performance of the algorithms under varying conditions and in different environments are presented and several of the challenges we faced in developing this real-time implementation are discussed.

关键词： Speech processing

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the Akaike information criterion with parameter uncertainty

The Akaike information criterion with parameter uncertainty

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4th ieee sensor array and multichannel signal processing workshop

作者： Seghouane, Abd-Krim Australian Natl Univ Natl ICT Australia Canberra Res Lab Res Sch Informat Sci & Engn Canberra ACT 2601 Australia

ISBN: (纸本)1424403081

An instance crucial to most problems in signal processing is the selection of the order of a candidate model. Among the different exciting criteria, the two most popular model selection criteria in the signal processing literature have been the Akaike's criterion AIC and the Bayesian Information criterion BIC. these criteria are similar in form in that they consist of data and penalty terms. Different approaches have been used used to derive these criteria. However, none of them take into account the prior information concerning the parameters of the model. In this paper, an new approach for model selection, that takes into account the prior information on the model parameters, is proposed. Using the proposed approach and depending on the nature of the prior on the model parameters, two new information criteria are proposed for univariate linear regression model selection. We use the term 'information criteria" because their derivation is based on the Kullback-Leibler divergence.

关键词： signal processing

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Study of the Human Eye Working Principle: An impressive high angular resolution system with simple array detectors

Study of the Human Eye Working Principle: An impressive high...

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4th ieee sensor array and multichannel signal processing workshop

作者： Betancourt, Diego del Rio, Carlos Univ Publ Navarra Antenna Grp Campus Arrosadia S-N Pamplona 31006 Spain

ISBN: (纸本)1424403081

In this paper the working principle of the human eye is studied since uses very simple detectors, cones and rods, to provide an impressive high angular resolution without using any kind of scanning technique. Usually the resolution capability of the human eyes has been attributed to the complexity of the brain, but it is quite difficult to understand that something, specially small details, that it has not been seen by the eyes could be generated by the brain. Finally, it will be proved that with the actual technology and design philosophy of array antenna systems, the maximum achievable angular resolution of a realistic antenna array system is seriously limited and it is equivalent to the one that it could have an insect with compound eyes. It is clear the human eye is able to overcome this limit, and the idea is to learn how to introduce this to the design procedure of antenna array systems.

关键词： Vision

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Direction-finding results for a Vector sensor Antenna on a small UAV

Direction-finding results for a Vector Sensor Antenna on a s...

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4th ieee sensor array and multichannel signal processing workshop

作者： Appadwedula, Swaroop Keller, Catherine M. MIT Lincoln Lab 244 Wood St Lexington MA 02173 USA

ISBN: (纸本)1424403081

On small platforms, angle-of-arrival (AOA) estimation of an E-M signal can be accomplished with colocated antennas measuring multiple components of the propagating wave. An electrically small Vector sensor (VS) Antenna constructed above and below the wing of a small UAV measures three components of the propagating wave. Determining the AOA involves fitting known "calibration" AOAs and corresponding antenna response to a modeled response. the least-squares calibration approach described here determines the azimuth and elevation AOAs for sources located at typical elevation angles to within a few degrees, agreeing with the Cramer-Rao Lower Bound (CRLB). these results justify the use of small VS antennas to do direction finding (DF) in high SNR environments.

关键词： Direction of arrival

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Multiple window bispectrum estimator

Multiple window bispectrum estimator

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4th ieee sensor array and multichannel signal processing workshop

作者： He, Huixia thomson, David J. Queens Univ Kingston ON K7L 3N6 Canada

ISBN: (纸本)1424403081

By taking the third-order statistical information of processes into account, the bispectrum is a useful tool in digital signal processing and statistics. the paper proposes a nonparametric approach of estimating the bispectrum, using tapers designed to achieve maximal bifrequency concentration. Bispectra are functions of two frequencies plus their sum, so the optimum tapers are not products of Slepian sequences. the new tapers minintize the sixth-moment "energy" leakage in the estimate, and thus the new multiple window bispectrum estimator (MWBE) can be interpreted as minimizing the broad-band bias. Alternatively, the MWBE can be viewed as a solution of an integral inverse problem using an eigenfunction expansion. this approach can be extended to estimate higher-order polyspectra. Numerical simulations use moving average (MA) data with non-Gaussian white driving noise. Simulation results with small sample sizes show that this new MWBE is feasible and mean-squared error (MSE) optimal.

关键词： Digital signal processing

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Parametric GLRT for multichannel adaptive signal detection

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ieee TRANSACTIONS ON signal processing 2007年第11期55卷 5351-5360页

作者： Sohn, Kwang June Li, Hongbin Himed, Braham Stevens Inst Technol Dept Elect & Comp Engn Hoboken NJ 07030 USA USAF Res Lab SNRT Rome NY 13441 USA

this paper considers the problem of detecting a multichannel signal in the presence of spatially and temporally colored disturbance. A parametric generalized likelihood ratio test (GLRT) is developed by modeling the disturbance as a multichannel autoregressive (AR) process. Maximum likelihood (ML) parameter estimation underlying the parametric GLRT is examined. It is shown that the ML estimator for the alternative hypothesis is nonlinear and there exists no closed-form expression. To address this issue, an asymptotic ML (AML) estimator is presented, which yields asymptotically optimum parameter estimates at reduced complexity. the performance of the parametric GLRT is studied by considering challenging cases with limited or no training signals for parameter estimation. Such cases (especially when training is unavailable) are of great interest in detecting signals in heterogeneous, fast changing, or dense-target environments, but generally cannot be handled by most existing multichannel detectors which rely more heavily on training at an adequate level. Compared with the recently introduced parametric adaptive matched filter (PAMF) and parametric Rao detectors, the parametric GLRT achieves higher data efficiency, offering improved detection performance in general.

关键词： generalized likelihood ratio test (GLRT) maximum likelihood (ML) parameter estimation multichannel signal detection parametric models space-time adaptive processing (STAP)

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Application of 2D-direction locked loop tracking algorithm to mobile satellite communications

Application of 2D-direction locked loop tracking algorithm t...

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4th ieee sensor array and multichannel signal processing workshop

作者： Gieron, Roman Siatchoua, Patrice IMST GmbH Carl Friedrich Gauss Str 2 D-47475 Kamp Lintfort Germany

ISBN: (纸本)1424403081

Mobile satellite terminals especially with high-gain antenna require fast and accurate beam tracking algorithms for communication. the main topic of this paper is the extension of a tracking algorithm to mobile satellite communications, its implementation and performance. the presented considerations and simulation results concern low SNR condition and narrow antenna beam configuration as existing in satellite communications. the assumed satellite is geostationary. the work is presented in context of SANTANA-2 project, (Smart Antenna Terminal), founded and supported by the German DLR on behalf of BMBF. the realized terminal uses an antenna array in Ka-band and fully implements Digital BeamForming (DBF) to control the beam pointing direction and the antenna beam shape.

关键词： tracking algorithm antenna array array signal processing mobile satellite communications digital beamforming Ka-band

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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...

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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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