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MUSIC-Based array Imaging in Multi-Modal Ultrasonic Non-Destructive Testing

MUSIC-Based Array Imaging in Multi-Modal Ultrasonic Non-Dest...

引用

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

作者： Foroozan, Foroohar ShahbazPanahi, Shahram Univ Ontario Inst Technol Fac Engn & Appl Sci Oshawa ON L1H 7K4 Canada

ISBN: (纸本)9781467310710

We propose a MUSIC based array imaging method for ultrasonic non-destructive testing (NDT) applications. We take the mode conversion phenomenon into account and develop a MUSIC-based imaging technique which exploits the additional information that is present in all propagating modes to the advantage of the imaging process-a problem not previously addressed in the context of NDT applications. Both the numerical simulations as well as data validation show that our proposed approach performs better than the traditional MUSIC based and delay-and-sum (DAS) based imaging algorithms in terms of root mean square error (RMSE) and also provides higher resolution and better side lobe suppression capabilities.

关键词： Ultrasonic array Imaging Multi-Modal Propagation Mode Conversion MUSIC DAS

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Adaptive Pulse Design for Space-Time Adaptive processing

Adaptive Pulse Design for Space-Time Adaptive Processing

引用

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

作者： Patton, Lee K. Hack, Daniel E. Himed, Braham Matrix Res Dayton OH USA AF Res Lab Wright Patterson AFB OH USA

ISBN: (纸本)9781467310710

Space-time adaptive processing (STAP) is used in radar to adaptively suppress both ground clutter returns and radio frequency interference (RFI). However, RFI suppression utilizes degrees-of-freedom that would otherwise be applied to clutter suppression. This paper considers designing the transmit pulse so that fast-time correlated (i.e., colored) RFI is suppressed in the pulse-compression stage preceding the STAP processor. The objective function and constraints for the waveform optimization are derived, and a numerical example demonstrating the efficacy of the approach is provided.

关键词： Space time adaptive processing Radiofrequency interference numerical example Vital Signs fast timing radio frequency interference suppression Ground clutter clutter suppression

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Limited Field-of-View Multimodal sensor Adaptation for Data Association

Limited Field-of-View Multimodal Sensor Adaptation for Data ...

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

作者： O'Rourke, Sean M. Swindlehurst, A. Lee Univ Calif Irvine Ctr Pervas Commun & Comp Irvine CA 92697 USA

ISBN: (纸本)9781467310710

We have investigated the utility of field-of-view adaptation for multimodal sensing in cluttered multi-target environments. Measurement data from multiple integrated sensors are collected at a fusion center, which employs a soft association procedure to integrate them into the estimation procedure. A variance penalty model for the limited fields-of-view property is incorporated into the state estimation procedure. This model also forms the basis of an optimization problem that determines the best next-step sensing parameters for the changing target environment. Numerical simulations demonstrate the benefit of the proposed method for both tracking and association metrics compared to a non-adaptive tracker.

关键词： Multimodal sensing data association assessment procedure integrated sensor

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Microphone array Beampattern Characterization for Hands-free Speech Applications

Microphone Array Beampattern Characterization for Hands-free...

引用

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

作者： Taghizadeh, Mohammad J. Garner, Philip N. Bourlard, Herve Idiap Res Inst Lausanne Switzerland Idiap Res Inst EPFL Lausanne Switzerland

ISBN: (纸本)9781467310710

Spatial filtering is the fundamental characteristic of microphone array based signal acquisition, which plays an important role in applications such as speech enhancement and distant speech recognition. In the array processing literature, this property is formulated upon beam-pattern steering and it is characterized for narrowband signals. This paper proposes to characterize the microphone array broadband beam-pattern based on the average output of a steered beamformer for a broadband spectrum. Relying on this characterization, we derive the directivity beam-pattern of delay-and-sum and superdirective beamformers for a linear as well as a circular microphone array. We further investigate how the broadband beam-pattern is linked to speech recognition feature extraction;hence, it can be used to evaluate distant speech recognition performance. The proposed theory is demonstrated with experiments on real data recordings.

关键词： Broadband beam-pattern Delay-and-sum beamformer Superdirective beamformer Distant speech recognition

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

作者： Pavlidi, Despoina Griffin, Anthony Puigt, Matthieu Mouchtaris, Athanasios FORTH ICS GR-70013 Iraklion Crete Greece

ISBN: (纸本)9781467310710

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： Additive noise

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Quantifying the Advantages of Joint processing in TDOA Estimation

Quantifying the Advantages of Joint Processing in TDOA Estim...

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

作者： Yeredor, Arie Tel Aviv Univ Sch Elect Engn IL-69978 Tel Aviv Israel

ISBN: (纸本)9781467310710

We address the problem of passive estimation of the Time-Difference of Arrival (TDOA) of an unknown, stochastic signal, at two sensors. The key question addressed here is whether additional sensors, receiving the same signal at various relative delays, can serve to improve the accuracy in estimating the TDOA of interest between the first two sensors (without exploiting any underlying parameterization, such as dependence on the transmitter's location). We derive the Cramer-Rao Lower Bound (CRLB) on the resulting joint estimation error in a model which possibly includes multipath reflections. We show analytically, that in a multipath-free scenario, at high to moderate signal to Noise Ratios, additional sensors do not offer any improvement in accuracy. However, we also demonstrate (numerically) that in the presence of multipath reflections (possibly received at all sensors), the additional sensors can indeed assist in estimating the TDOA of interest with improved accuracy.

关键词： Time difference of arrival

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Iterative Sparse Through-the-Wall Imaging

Iterative Sparse Through-the-Wall Imaging

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

作者： Nikolic, Marija Nehorai, Arye Djordjevic, Antonije Univ Belgrade Sch Elect Engn Bulevar Kralja Aleksandra 73 Belgrade 11000 Serbia Washington Univ Dept Elect & Syst Engn St Louis MO 63130 USA

ISBN: (纸本)9781467310710

We consider iterative electromagnetic imaging of metallic targets hidden behind dielectric walls using sparse regularization. As in the equivalent-source method, we assume that the targets can be approximated by a set of filament currents whose locations are unknown. By using the iterative procedure, we reveal additional filament currents thus enlarging the target image. In order to take into account the mutual interaction between the current sources, and yet obtain the model amenable to signal processing, we combine the method of moments and the ray tracing.

关键词： target image Ray tracing Current sources Iterative Iterative Process METHOD OF MOMENTS Cytoskeletal Filaments signal processing Imaging

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Dictionary Based Reconstruction and Classification of Randomly Sampled sensor Network Data

Dictionary Based Reconstruction and Classification of Random...

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

作者： Tsagkatakis, Grigorios Tsakalides, Panagiotis Fdn Res & Technol Hellas FORTH Inst Comp Sci Iraklion Greece

ISBN: (纸本)9781467310710

In this paper, we propose a method for recovering and classifying WSN data while minimizing the number of samples that need to be acquired, processed, and transmitted. The problem is formulated according to the recently proposed framework of Matrix Completion (MC), which asserts that a low rank matrix can be recovered from a small number of randomly sampled entries. The application of MC in WSN data is motivated by the assumption that sensory data exhibit intra-sensor correlations and that these data can be represented using known examples. We formulate the problem as that of recovering the low rank measurement matrix by encoding the contributions of known examples, the dictionary elements, for reconstructing and classifying the data. Experimental results using artificial data suggest that the proposed scheme is able to accurately reconstruct and classify the sensory data from a small number of measurements.

关键词： sensor networks

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Hierarchical Particle Filtering for Target Tracking in Multi-Modal sensor Networks

Hierarchical Particle Filtering for Target Tracking in Multi...

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

作者： Chavali, Phani Nehorai, Arye Washington Univ Preston M Green Dept Elect & Syst Engn St Louis MO 63130 USA

ISBN: (纸本)9781467310710

We propose a filtering method, called hierarchical particle filtering, for multi-modal sensor networks in which the unknown state vector is observed, through the measurements, in a hierarchical fashion. We partition the state space and the measurement space into lower dimensional subspaces. At each stage, we find an estimate of one partition using the measurements from the corresponding partition, and the information from the previous stages. We use hierarchical particle filtering for joint initiation, termination and tracking of multiple targets using multi-modal measurements. Numerical simulations demonstrate that the proposed filtering method accurately identifies the number and the categories of targets, and produces a lower mean-squared error (MSE) compared to the MSE obtained using a standard particle filter.

关键词： Particle filters metric space Target tracking Hierarchical sensor networks state space

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Performance of a Practical Two-Step Detector for Non-Fluctuating Targets

Performance of a Practical Two-Step Detector for Non-Fluctua...

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

作者： Scharrenbroich, Max Zatman, Michael Balan, Radu QinetiQ N Amer Reston VA 22102 USA Univ Maryland Dept Math College Pk MD 20742 USA

ISBN: (纸本)9781467310710

In this paper we analyze a two-step detection scheme for use in distributed sensor systems (e. g. statistical MIMO radar). The scheme arises when a data rate restriction forces each of the distributed systems to censor their detection statistics before sharing. We present the Neyman-Pearson (NP) two-step detection rule for a non-fluctuating target model (Swerling 0), which is non-linear and requires a priori knowledge of the target SNR. We then analyze the performance of a practical two-step detection rule under the non-fluctuating target model.

关键词： Distributed Systems Scheme MIMO radar distributed sensors sensor systems

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