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

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Tracking time-varying mixing system in blind separation

Tracking time-varying mixing system in blind separation

引用

sensor array and multichannel signal processing workshop

作者： M. Enescu V. Koivunen Signal Processing Laboratory Helsinki University of Technology Finland

This paper addresses the problem of blind separation from time varying noisy mixtures. The goal is to adapt to changes that occur in the mixing system as well as to estimate if the number of sources change over time. This is achieved by using an adaptive predictor corrector structure and subspace tracker. Changes in the array covariance matrix are used in revealing changes in the mixing system. The performance of the algorithm is studied in simulations.

关键词： Time varying systems signal processing algorithms Source separation Blind source separation sensor arrays signal processing Covariance matrix Speech enhancement Filters Additive noise

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Local polynomial approximation based beamforming for localization of rapidly moving sources

Local polynomial approximation based beamforming for localiz...

引用

sensor array and multichannel signal processing workshop

作者： V. Katkovnik A.B. Gershman Int. Center for Signal Processing Tampere University of Technology Tampere Finland Communications Research Laboratory Department of Electr. and Comp. Eng McMaster University Hamilton ONT Canada

A windowed local polynomial approximation (LPA) of time-varying directions-of-arrival (DOA) is exploited to derive a new form of beamformer for source localization and tracking in highly nonstationary environments. The relationship between our LPA-beamformer and the conventional beamformer is derived. Closed-form expressions are obtained for the bias and variance of the LPA-beamformer in the nonstationary case and the problem of optimal window choice is discussed.

关键词： Polynomials array signal processing sensor arrays Direction of arrival estimation Motion estimation Gaussian noise signal processing Closed-form solution signal processing algorithms Tracking

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Nonparametric statistics for DOA estimation in the presence of multipath

Nonparametric statistics for DOA estimation in the presence ...

引用

sensor array and multichannel signal processing workshop

作者： S. Visuri H. Oja V. Koivunen Signal Processing Laboratory Helsinki University of Technology Finland Department of Statistics University of Jyväskylä Jyvaskyla Finland

This paper is concerned with array signal processing in nonGaussian noise and in the presence of multipath. Robust and fully nonparametric high resolution algorithms for direction of arrival (DOA) estimation are presented. The algorithms are based on multivariate spatial sign and rank concepts. Spatial smoothing of the multivariate rank and sign based covariance matrices is employed as a preprocessing step in order to deal with coherent sources. The performance of the algorithms is studied using simulations. The results show that almost optimal performance is obtained in wide variety of different noise conditions.

关键词： Statistics Direction of arrival estimation Covariance matrix signal processing algorithms array signal processing Gaussian noise Noise robustness Spatial resolution signal resolution Maximum likelihood estimation

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Optimum subband filterbank design for radar array signal processing with pulse compression

Optimum subband filterbank design for radar array signal pro...

引用

sensor array and multichannel signal processing workshop

作者： D. Rabinkin T. Nguyen Lincoln Laboratory MIT Lexington MA USA Boston University Boston MA USA

A front-end radar array processing system that operates in the subband domain is considered. It is assumed that pulse compression will be performed on radar return signals in the subband domain. A cohesive algorithm is presented that optimizes the design of all filters used in the subbanding process. These include the analysis filter (used to decompose return signals into narrowband components), the synthesis filter (used when combining subband components after processing), and the pulse compression generating filter (used to generate subband pulse compression filters from a wideband pulse compression filter). The algorithm attempts to minimize system aliasing noise, frequency distortion, and subband processing operations count.

关键词： Radar signal processing Filter bank signal design array signal processing Pulse compression methods signal processing algorithms Pulse generation signal generators Design optimization Algorithm design and analysis

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Maximum likelihood source localization using the EM algorithm to incorporate prior parameter distributions

Maximum likelihood source localization using the EM algorith...

引用

sensor array and multichannel signal processing workshop

作者： R. Perry K. Buckley ECE Department Villanova University Villanova PA USA

We introduce a new algorithm for the estimation of source location parameters from array data given prior distributions on unknown nuisance source signal parameters. The conditional maximum-likelihood (CML) formulation is employed, and ML estimation is obtained by marginalizing over the nuisance parameters. In general, direct solution of this marginalization ML problem is intractable. We introduce an expectation-maximization (EM) algorithm solution, which is applicable to any prior distribution.

关键词： Maximum likelihood estimation Parameter estimation sensor arrays Position measurement signal processing algorithms Sonar applications Radar applications Biomedical engineering Acoustic applications Biomedical acoustics

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Acoustic field conformation using multichannel active noise control techniques

Acoustic field conformation using multichannel active noise ...

引用

sensor array and multichannel signal processing workshop

作者： M. de Diego A. Gonzalez G. Pinero C. Garcia M. Ferrer Department of Comunicaciones Universidad Politecnica de Valencia Valencia Spain

This paper describes the experimental application of sensors array and multichannel digital signal processing to the equalization of the acoustic field in car compartments. The aim of this multichannel active noise control system is not simply to cancel undesirable noise but to reshape the sound field around the listener's head. A modified version of filtered-X LMS active noise equalizer algorithm has been developed and extended to multiple channels. A 4100 type Bruel dummy head and torso with two calibrated microphones at the ear's canals has been used to obtain sound levels in an hypothetic listener's ears. The equalization points are not only the error sensors position but an area around them which is measured using the manikin. It has been found that at low frequencies the zones of equalization created around the point of control are large enough to cover the movements of the head without disturbing algorithm's stability.

关键词： Acoustic noise Active noise reduction Noise cancellation sensor arrays Acoustic sensors signal processing algorithms Ear sensor phenomena and characterization Acoustic arrays Digital signal processing

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On performance study of blind identification of a multipath channel

On performance study of blind identification of a multipath ...

引用

sensor array and multichannel signal processing workshop

作者： A. Desmezieres P. Costa P. Larzabal LESiR ENS Cachan URA CNRS Cachan France

This work presents a general framework for identification of multipath channel. The connection between different methods are established, allowing comparison of performances. Several blind identification algorithms are proposed depending of the temporal correlation of the fadings. Moreover we have proposed an approximate ML method which is low computationally cost and quasi optimal.

关键词： Multipath channels Antenna arrays Fading Antennas and propagation sensor arrays Phased arrays Cost function Computational efficiency Parameter estimation Phase estimation

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A sequential extension of the unified MAP track estimation method

A sequential extension of the unified MAP track estimation m...

引用

sensor array and multichannel signal processing workshop

作者： R.E. Zarnich K.L. Bell H.L. Van Trees School of IT & and Engineering George Mason University Fairfax VA USA

A maximum a-posteriori (MAP) estimator for multitarget tracking based on sensor array data has been derived for temporally uncorrelated signals and uncorrelated contact tracks. This batch estimator is an iterative algorithm employing a nested pair of expectation maximization (EM) based algorithms. The 'hidden data' are direction-of-arrival estimates of synthetic signal estimates, each conditioned on prior track distributions. In this paper, the batch method is extended to operate in a sequential manner by defining a moving batch window and stride for processing the incoming data. Comparisons to the full batch method are presented and discussed.

关键词： sensor arrays Direction of arrival estimation Target tracking Maximum a posteriori estimation Iterative algorithms sensor systems State-space methods State estimation Geometry Data engineering

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Estimation of propeller shaft rate and vessel classification in multipath environment

Estimation of propeller shaft rate and vessel classification...

引用

sensor array and multichannel signal processing workshop

作者： H. Amindavar P.P. Moghaddam AmirKabir University of Technology Tehran Iran

A problem of interest in a passive sonar system is the demodulation of the wide-band signal received from a vessel's propeller shaft blades. The signal emitted by the vessel becomes a multipath channel which could render erroneous classification of the vessel using the digitized acoustic signal. A new approach is introduced to determine the propeller shaft rate and the number of propeller blades. The cyclostationarity behavior of the acoustic signals from a vessel is exploited to achieve the desired tasks.

关键词： Propellers Shafts Blades signal processing algorithms Sonar Acoustic emission Wideband Acoustic noise Multipath channels Working environment noise

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Denoising multisensor data

Denoising multisensor data

引用

sensor array and multichannel signal processing workshop

作者： A.M. Rao D.L. Jones Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign IL USA

Multisensor array processing of noisy measurements has received considerable attention in many areas of signal processing. The optimal processing techniques developed so far usually assume the signal and noise processes are at least wide-sense-stationary, yet a need exists for efficient, effective methods for processing nonstationary signals. While wavelets have proven to be useful tools in dealing with certain nonstationary signals, the way in which wavelets are to be used in the multisensor setting has only recently been considered. In this work we show how multisensor denoising can be carried out in perturbed, narrowband arrays even in the absence of the signal source's direction of arrival. We show that our proposed blind estimator can be implemented efficiently and robustly employing only wavelet and discrete Fourier transforms while entailing only a small loss in performance.

关键词： Noise reduction signal processing array signal processing Estimation sensor arrays signal processing algorithms Narrowband Robustness Discrete wavelet transforms Discrete Fourier transforms

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