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

共 1267 条记录，以下是41-50 订阅

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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...

引用

ieee sensor array and multichannel signal processing workshop

作者： Vicente, L. M. Ho, K. C. Univ Missouri Dept Elect & Comp Engn Columbia MO 65211 USA

ISBN: (纸本)9781424422401

The partial adaptive concentric ring array (CRA) has been successfully applied to 3-D 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： Beamforming

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POLYNOMIAL ROOTING-BASED DIRECTION FINDING FOR ARBITRARY array CONFIGURATIONS

POLYNOMIAL ROOTING-BASED DIRECTION FINDING FOR ARBITRARY ARR...

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ieee sensor array and multichannel signal processing workshop

作者： Costa, Mario Richter, Andreas Belloni, Fabio Koivunen, Visa Helsinki Univ Technol Dept Signal Proc & Acoust SMARAD CoE FIN-02015 Helsinki Finland

ISBN: (纸本)9781424422401

In this paper, we propose angle of arrival estimation algorithms for arbitrary array geometries. The proposed methods extend the root-WSF [1] and Modified Variable Projection (MVP) [2] algorithms to arbitrary array configurations. This is accomplished by employing the recently introduced Manifold Separation Technique (MST) [3], which stems from wavefield modelling [4]. The algorithms process the data in the element-space domain, i.e. no mapping of the data that introduces errors is required. Moreover, coherent sources can be handled. The proposed MST-based MVP algorithm shows a statistical performance close to the Cramer-Rao Lower Bound (CRLB) [5, 6]. The performance is illustrated using calibration data from two real-world 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

ieee sensor array and multichannel signal processing workshop

作者： Noam, Y. Messer, H. Tel Aviv Univ Sch Elect Engn IL-69978 Tel Aviv Israel

ISBN: (纸本)9781424422401

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 Ill 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： signal processing

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FAST DISTRIBUTED CONSENSUS ALGORITHMS BASED ON ADVECTION-DIFFUSION PROCESSES

FAST DISTRIBUTED CONSENSUS ALGORITHMS BASED ON ADVECTION-DIF...

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ieee sensor array and multichannel signal processing workshop

作者： Sardellitti, S. Giona, M. Barbarossa, S. Univ Roma La Sapienza INFOCOM Dept Via Eudossiana 18 I-00184 Rome Italy Univ Roma La Sapienza Dept Chem Engn Via Eudossiana 18 I-00184 Rome Italy

ISBN: (纸本)9781424422401

Distributed consensus algorithms have recently gained a large interest in sensor networks as a way to achieve globally optimal decisions in a totally decentralized way, that is without the need of sending all the data collected by the sensors to a fusion center. The goal of this work is to show that modeling a consensus algorithm as the homogenization process of a fluid through an advection-diffusion process provides a fundamental clue to design innovative consensus algorithms whose convergence rate can be increased by acting on the (equivalent) advection mechanism, without increasing the coverage radius of any sensor. In particular, we show the increase of convergence rate resulting from a proper interplay between advection and diffusion mechanisms.

关键词： sensor networks

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MAP-PF 3D POSITION TRACKING USING MULTIPLE sensor arrayS

MAP-PF 3D POSITION TRACKING USING MULTIPLE SENSOR ARRAYS

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ieee sensor array and multichannel signal processing workshop

作者： Bell, Kristine L. Pitre, Richard George Mason Univ Dept Stat Fairfax VA 22030 USA LLC RobTre Res Clarksville TN 21029 USA

ISBN: (纸本)9781424422401

The maximum a posteriori penalty function (MAP-PF) approach is applied to three-dimensional (3D) target position tracking of multiple wideband sources using multiple distributed sensor arrays. The track estimation problem is formulated directly from the array data using the maximum a posteriori (MAP) estimation criterion. The penalty function (PF) method of nonlinear programming is used to obtain a tractable solution. A sequential update procedure is developed in which penalized maximum likelihood estimates of target directions-of-arrival (DOAs) and spectra are computed at each array and then used as synthetic measurements in a set of extended Kalman filters. The two steps are coupled via the penalty function. The current target states are used to guide the DOA/spectrum estimation, and the estimated signal spectra control the influence of the DOA estimates from each array on the final track estimates. The algorithm can be implemented in a decentralized manner where DOA/spectrum estimation is performed at the arrays, and track estimation is performed at a central processing site.

关键词： Direction of arrival

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NON-MYOPIC sensor SCHEDULING FOR A CENTRALIZED sensor NETWORK

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

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ieee sensor array and multichannel signal processing workshop

作者： Shah, Himanshu Morrell, Darryl Arizona State Univ Dept Elect Engn Tempe Campus Tempe AZ 85287 USA Arizona State Univ Dept Engn Tempe AZ 85287 USA

ISBN: (纸本)9781424422401

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： Nonlinear programming

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ROBUST ADAPTIVE VECTOR sensor processing IN THE PRESENCE OF MISMATCH AND FINITE SAMPLE SUPPORT

ROBUST ADAPTIVE VECTOR SENSOR PROCESSING IN THE PRESENCE OF ...

引用

ieee sensor array and multichannel signal processing workshop

作者： Poulsen, Andrew J. Nadakuditi, Raj Rao Baggeroer, Arthur B. MIT Cambridge MA 02139 USA

ISBN: (纸本)9781424422401

We present analytical results which quantify the effect of system mismatch and finite sample support on acoustic vector sensor array performance. One noteworthy result is that the vector aspect of the array "dampens" the effect of array mismatch, enabling deeper true nulls. This is accomplished because the variance of the vector sensor array spatial response (due to rotational, positional and filter gain/phase perturbations) decreases in the sidelobes, unlike arrays of omnidirectional hydrophones. When sensor orientation is measured within a reasonable tolerance, the beampattern variance dominates the average sidelobe power response. Our analysis also suggests that vector sensor array gain performance is less sensitive to rotational than to positional perturbations in the regions of interest. We analytically characterize the eigen-SNR threshold, which depends on the signal and noise covariance and the number of noise-only and signal-plus-noise snapshots, below which (asymptotically speaking) reliable detection using sample eigenvalue based techniques is not possible. Thus for a given number of snapshots, since the dimensionality of the snapshot in a vector sensor array is larger than that of a hydrophone-only array, the eigen-SNR detection threshold will be greater whenever the eigenvector information is discarded. We present processing techniques customized to the unique characteristics of vector sensors, which exploit information encoded in the sample eigenvectors and are robust to the mismatch and finite sample support issues. These methods include adaptive processing techniques with multiple white noise constraints.

关键词： Hydrophones

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A CLOSED-FORM SOLUTION FOR MULTILINEAR PARAFAC DECOMPOSITIONS

A CLOSED-FORM SOLUTION FOR MULTILINEAR PARAFAC DECOMPOSITION...

引用

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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A Method for Differentially Coherent multichannel processing of Acoustic OFDM signals

A Method for Differentially Coherent Multichannel Processing...

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ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Aval, Yashar M. Stojanovic, Milica Northeastern Univ Boston MA 02115 USA

ISBN: (纸本)9781467310710

We propose a low complexity array processing method for differential detection of OFDM signals over underwater acoustic channels. Partial FFT technique, developed previously for mitigating inter-carrier interference in single-channel receivers operating over time-varying channels, is extended to multichannel configuration. Performance results based on simulation and experimental data demonstrate the advantage of the proposed method compared to conventional differential and coherent detection.

关键词： array processing

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