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检索条件"任意字段=4th IEEE Sensor Array and Multichannel Signal Processing Workshop"

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Rank-two beamforming for single-group multicasting networks using OSTBC

Rank-two beamforming for single-group multicasting networks ...

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sensor array and multichannel signal processing workshop

作者： Xin Wen Ka L. Law Samer J. Alabed Marius Pesavento Darmstadt University of Technology Darmstadt Germany

this paper addresses the problem of transmit beamforming for single-group multicasting, where common information is transmitted to a group of users. Beamformers are designed to minimize the total transmitted power subject to quality-of-service (QoS) constraints for all users. In the conventional approach, a single weight vector is computed to jointly satisfy all requirements. However, in the case of a large number of users, the performance of the conventional beamforming methods usually degrades severely due to the limited degrees of freedom for designing spatially selective beamformers. Motivated by this, we propose a novel approach with increased flexibility in which the idea of single-group beamforming is combined with orthogonal space-time block coding (OSTBC). the proposed approach is particularly attractive in combination with the semi-definite relaxation (SDR) technique for which our approach is optimal in the case of rank-one and rank-two SDR solutions whereas the conventional approach is only optimal for rank-one solutions.

关键词： Vectors array signal processing Multicast communication Approximation methods Quality of service Receivers signal to noise ratio

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Distribution-free detection under complex elliptically symmetric clutter distribution

Distribution-free detection under complex elliptically symme...

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sensor array and multichannel signal processing workshop

作者： Esa Ollila David E. Tyler Department of Signal Processing and Acoustics Aalto University Aalto Finland Department of Statistics Rutgers University Piscataway NJ USA

We study the constant false alarm rate matched subspace detector (CFAR MSD) of a signal observed under additive noise following a complex elliptically symmetric (CES) distribution which include the class of compound-Gaussian (CG) distributions as special cases. We prove that the detector is distribution-free under the null (signal free) hypothesis and derive simple expressions for the probability of detection assuming CG-distributed clutter. the derived theoretical results are then illustrated by contrasting them with the performance of a practical adaptive detector which estimates the shape matrix (normalized clutter covariance matrix) from the set of secondary data using complex Tyler's M-estimator of scatter under small sample lengths. We also prove that the complex Tyler's M-estimator is the maximum likelihood estimator (MLE) of the shape matrix under the assumption that the secondary data are independent random vectors from a possibly different CES distributions but which share the same shape matrix parameter.

关键词： Detectors Clutter Shape Covariance matrix signal processing Vectors Maximum likelihood estimation

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sensor network distributed computation for Direct Position Determination

Sensor network distributed computation for Direct Position D...

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sensor array and multichannel signal processing workshop

作者： Mohammad Pourhomayoun Mark L. Fowler Department of Electrical and Computer Engineering Binghamton University Binghamton NY USA

Classical localization systems based on TDOA/FDOA use a two-stage estimation approach. In the first stage, pairs of sensors share data to estimate TDOA/FDOA. then, the extracted TDOA/FDOA measurements are used to estimate the emitter location. In some recently published methods, an optimal single-stage approach named Direct Position Determination (DPD) has been proposed to improve the position estimation accuracy. However, unlike the classical two-stage method where the TDOA/FDOA estimation can be distributed across all sensors, DPD processes all the received signals together at a single sensor node. However, when sensors have limited computational capabilities it is desirable to distribute the computation across all sensors. Furthermore, concentrating all the processing into a single node makes the location system less robust to the loss of sensors. In this paper, we develop a distributed localization method with the goal of reducing the computational load on each sensor and increasing the reliability of the system.

关键词： Eigenvalues and eigenfunctions Estimation Computer aided manufacturing Approximation methods Data compression Delay Doppler effect

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Wideband sound reproduction in a 2D multi-zone system using a combined two-stage Lasso-LS algorithm

Wideband sound reproduction in a 2D multi-zone system using ...

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sensor array and multichannel signal processing workshop

作者： Nasim Radmanesh Ian S Burnett School of Electrical and Computer Engineering RMIT University Melbourne VIC Australia

this paper addresses the provision of personal soundfields (zones) to multiple listeners in a space for which there are several fixed, virtual sources. For such multizone systems, optimization of speaker positions and weightings is important to reduce the number of active speakers. In this paper a two stage pressure matching optimization is proposed for wideband sound sources (such as speech signals). In the first stage, the least-absolute shrinkage and selection operator (Lasso) is used to select the speakers' positions for all sources and frequencies. A second stage then optimizes reproduction using all selected speakers on the basis of regularized least-squares (LS) or Lasso algorithm. the performance of these new, two-stage approaches is investigated for different speaker numbers, frequency range and reproduction angles. Results show that a limited arc of speakers using a two-stage optimization can give up to 38dB improvement in zone normalized squared error over a single-stage LS optimization.

关键词： Wideband arrays Speech Optimization Vectors Speech processing Manganese

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Source counting in real-time sound source localization using a circular microphone array

Source counting in real-time sound source localization using...

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sensor array and multichannel signal processing workshop

作者： Despoina Pavlidi Anthony Griffin Matthieu Puigt Athanasios Mouchtaris Department of Computer Science University of Crete Heraklion Crete Greece FORTH-ICS Heraklion Crete Greece

Recently, we proposed an approach inspired by Sparse Component Analysis for real-time localization of multiple sound sources using a circular microphone array. the method was based on identifying time-frequency zones where only one source is active, reducing the problem to single-source localization for these zones. A histogram of estimated Directions of Arrival (DOAs) was formed and then processed to obtain improved DOA estimates, assuming that the number of sources was known. In this paper, we extend our previous work by proposing three different methods for counting the number of sources by looking for prominent peaks in the derived histogram based on: (a) performing a peak search, (b) processing an LPC-smoothed version of the histogram, (c) employing a matching pursuit-based approach. the third approach is shown to perform very accurately in simulated reverberant conditions and additive noise, and its computational requirements are very small.

关键词： Estimation Histograms Direction of arrival estimation arrays Microphones Matching pursuit algorithms Real time systems

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Fusion of multiple microphone arrays for blind source separation and localization

Fusion of multiple microphone arrays for blind source separa...

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sensor array and multichannel signal processing workshop

作者： Tao Wu Longji Sun Qi Cheng Pramod K. Varshney School of Electrical and Computer Engineering Oklahoma State University Stillwater OK USA Department of Electrical Engineering and Computer Science Syracuse University Syracuse NY USA

Motivated by potential applications such as the use of multiple robots to collaboratively localize multiple objects/events of interest through audio cues, we propose a novel solution for blind source separation (BSS) and localization using multiple microphone arrays. Unlike the existing state-of-the-art where direction of arrivals (DOAs) and locations are estimated sequentially, the proposed approach jointly estimates both by solving a constrained optimization problem, in which the dependence of the separated signals is minimized. By adopting the alternating direction method of multipliers (ADMM), the problem can be solved in a distributed way in which only the local DOA estimates are communicated among arrays in each iteration. Because the augmented Lagrangian used in ADMM naturally forces the estimates to approach true values by adding penalties on non-optimal ones, the critical scaling and permutation problems in BSS are solved simultaneously. Simulation results further demonstrate that the estimation accuracy can be significantly improved using the proposed method.

关键词： arrays Microphones Direction of arrival estimation Source separation Frequency domain analysis signal processing algorithms Optimization

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SUAS for 8-channel GMTI radar using alternative high performance non-SMI STAP algorithm

SUAS for 8-channel GMTI radar using alternative high perform...

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sensor array and multichannel signal processing workshop

作者： S. Lawrence Sensors and Electromagnetic Applications Laboratory (SEAL) Georgia Tech Research Institute (GTRI) Smyrna 30080 USA

GTRI is developing an 8-channel X-band experimental radar for a small unmanned aircraft system (SUAS) for adaptive multi-channel, MIMO, and waveform diversity test bed studies. New adaptive algorithms, one of which is covered in this paper, are also part of the test bed. Estimation of the statistical covariance matrix forms a central role in radar detection and adaptive beamforming algorithm. For example, the optimal (adaptive) linear combiner (beamformer) weights for a radar sensor array are expressed in terms of the inverse of the multi-channel (MC) covariance matrix for MIMO problems. Rather than form an estimate of the covariance matrix directly from the available data and inverting (sample matrix inversion [SMI]), an alternative direct estimate of the inverse may be obtained by forming parametric MC linear prediction estimates and then expressing the inverse in terms of these parametric MC estimates. the resulting parametric inverse estimate will be more accurate than inverting the estimate of the covariance matrix, leading to greatly improved detection performance over conventional methods of covariance estimation and inversion. this paper reveals the structure of the inverse of the covariance matrix for one parametric technique. the inverse structure involves products of triangular block MC Toeplitz matrices, which leads to a fast computational solution. Performance improvements over classical sample covariance matrix estimation are illustrated.

关键词： Covariance matrix Vectors Radar signal processing algorithms arrays Interference Jamming

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MIMO radar signal processing for distributed phased arrays

MIMO radar signal processing for distributed phased arrays

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2011 4th ieee International workshop on Computational Advances in Multi-sensor Adaptive processing, CAMSAP 2011

作者： Fuhrmann, Daniel R. Department of Electrical and Computer Engineering Michigan Technological University Houghton MI 49931 United States

ISBN: (纸本)9781457721052

We explore transmit signaling and receive signal processing strategies for a notional MIMO radar system consisting of widely distributed phased arrays. the assumptions are that within a phased array, there is a fixed rigid geometry and perfect phase synchronization, and there is a single look at the target. In constrast, between phased arrays there is imperfect phase synchronization and multiple views of the target. the relative advantages and disadvantages of coherent and orthogonal signaling in such a model are explored through simulation. © 2011 ieee.

关键词： MIMO radar

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Optimum microphone array for monaural and binaural in-the-canal hearing aids

Optimum microphone array for monaural and binaural in-the-ca...

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2011 4th ieee International workshop on Computational Advances in Multi-sensor Adaptive processing, CAMSAP 2011

作者： Ayllon, David Gil-Pita, Roberto Rosa-Zurera, Manuel Applied Signal Group University of Alcala Alcalá de Henares Madrid Spain

ISBN: (纸本)9781457721052

Modern hearing aids include signal processing algorithms to improve the speech intelligibility by means of a microphone array, which can be monaural or binaural. In both cases, the signals are distorted by the well-known head-shadow effect that must be considered in the design. the main goal of this paper is to find the best microphone array configuration for in-the-canal hearing aids, constrained by the reduced dimension of such devices, in order to maximize the output gain and intelligibility when the array is steered to the desired direction. For this purpose, a total of 12 different array arrangements are compared, in terms of the array gain and intelligibility obtained by a Minimum Variance Distortionless Response (MVDR) beamformer, which also considers the head-shadow effect. the highest gain and intelligibility are obtained by a binaural array composed by a total of 8 microphones, 4 in diamond-shaped alignment in each ear. the results show the level of improvement achieved by increasing the number of microphones as well as using binaural arrays, giving rise to a compromise between the complexity of the array and the desired enhancement. © 2011 ieee.

关键词： Hearing aids

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Fast wideband near-field imaging with URAs applied to urban sensing

Fast wideband near-field imaging with URAs applied to urban ...

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2011 4th ieee International workshop on Computational Advances in Multi-sensor Adaptive processing, CAMSAP 2011

作者： Leigsnering, Michael Zoubir, Abdelhak M. Ghogho, Mounir Signal Processing Group Technische Universität Darmstadt Darmstadt Germany School of Electronic and Electrical Engineering University of Leeds Leeds United Kingdom

ISBN: (纸本)9781457721052

High resolution wideband near-field imaging requires wideband signals and large array apertures. Hence, a large amount of data needs to be processed in the image formation step. the computational load of the standard delay and sum beamformer stems from the calculation of the focus delays and the evaluation of the sums over the measurements. We propose an approach tackling the problem of calculating the focus delays. Provided a uniform rectangular array (URA) is used, the image can be evaluated on a well tailored discrete grid such that most focus delays are redundant. Now by calculating only the non-redundant values we can reduce the numerical complexity significantly. the above approach is combined with fast beamforming based on the non-equispaced fast Fourier transform (NFFT). We demonstrate the good performance with experimental results from a through-the-wall radar imaging system. © 2011 ieee.

关键词： Beamforming

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