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Fuzzy triangle contour characterization by subspace based methods of array processing

Fuzzy triangle contour characterization by subspace based me...

引用

ieee sensor array and multichannel signal processing workshop

作者： Jiang, Haiping Marot, Julien Bourennane, Salah Fossati, Caroline Institut Fresnel/GSM Ecole Centrale Marseille D. U. de Saint-Jérôme Av. Normandie Niemen 13397 Marseille France

ISBN: (纸本)9781424489770

Fuzzy paradigm was considered from several aspects in image segmentation. For the first time, we derive a signal processing model out of an image which contains a fuzzy contour. We propose to adapt subspace-based methods of array processing which are originally dedicated to multiple incoherently distributed sources, to retrieve the orientation and spread parameters of fuzzy contours. A set of experiments performed on hand-made and real-world images shows that the proposed methods estimate accurately the expected orientation and spread parameters of fuzzy contours, and exhibit a small computational load. © 2010 ieee.

关键词： array processing

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Combining multiband joint position-pitch algorithm and particle filters for speaker localization

Combining multiband joint position-pitch algorithm and parti...

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ieee sensor array and multichannel signal processing workshop

作者： Habib, Tania Romsdorfer, Harald Signal Processing and Speech Communication Lab. Graz University of Technology Austria

ISBN: (纸本)9781424489770

We present a combination of the multiband joint positionpitch (M-PoPi) estimation algorithm with the particle filtering framework to enhance the localization accuracy when tracking multiple concurrent speakers. A new likelihood function derived from the M-PoPi algorithm is proposed for the particle filter framework. The performance of the particle filter based tracker is compared with the M-PoPi algorithm. The proposed framework improves localization accuracy for all cases ranging from single upto three concurrent speakers. © 2010 ieee.

关键词： Monte Carlo methods

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On positioning via distributed matrix completion

On positioning via distributed matrix completion

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ieee sensor array and multichannel signal processing workshop

作者： Montanari, Andrea Oh, Sewoong EE and Statistics Department Stanford University Stanford CA 94304 United States

ISBN: (纸本)9781424489770

The basic question in matrix completion is to infer a large low-rank matrix from a small subset of its entries. Positioning refers to the task of inferring the locations of n points from a subset of their distance. It turns out that positioning can be viewed as a matrix completion problem, although of a peculiar type. This paper discusses the applicability of distributed matrix completion algorithms to the positioning problem. © 2010 ieee.

关键词： distributed matrix completion algorithms low-rank matrix matrix algebra positioning problem sensor placement

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A reference-free time difference of arrival source localization using a passive sensor array

A reference-free time difference of arrival source localizat...

引用

ieee sensor array and multichannel signal processing workshop

作者： Amar, Alon Leus, Geert Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft 2628 CD Netherlands

ISBN: (纸本)9781424489770

Least squares source position estimation techniques from time difference of arrival measurements are based on choosing a reference sensor. Selecting different reference sensors may affect the positioning accuracy by a considerable amount. We suggest a closed-form least squares position estimation using all the available distinct time differences, which does not involve the selection of a reference sensor. The nonlinear terms, associated with the distances between the sensors and the source, are eliminated with an orthogonal projection matrix. Simulation results show that the proposed approach outperforms previous closed-form least squares solutions. © 2010 ieee.

关键词： Time difference of arrival

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Parametric joint detection-estimation of the number of sources in array processing

Parametric joint detection-estimation of the number of sourc...

引用

ieee sensor array and multichannel signal processing workshop

作者： Arkind, Noam Nadler, Boaz Department of Computer Science and Applied Mathematics Weizmann Institute of Science Rehovot 76100 Israel

ISBN: (纸本)9781424489770

Detection of the number of signals and estimation of their directions of arrival (DOAs) are fundamental problems in array processing. We present three main contributions to these problems, under the conditional model, where signal amplitudes are assumed deterministic unknown. First, we show that there is an explicit relation between model selection and the breakdown phenomena of the Maximum Likelihood estimator (MLE). Second, for the case of a single source, we provide a simple approximate formula for the location of the breakdown of the MLE, using tools from the maxima of stochastic processes. This gives an explicit formula for the source strength required for reliable detection. Third, we apply these results and propose a new joint detection-estimation algorithm with state-of-the-art performance. We demonstrate via simulations the improved detection performance of our algorithm, compared to other popular source enumeration methods. © 2010 ieee.

关键词： array processing

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Estimating the performance of a superdirective microphone array with a frequency-invariant response

Estimating the performance of a superdirective microphone ar...

引用

ieee sensor array and multichannel signal processing workshop

作者： Traverso, Federico Crocco, Marco Trucco, Andrea Department of Biophysical and Electronic Engineering University of Genoa Italy

ISBN: (纸本)9781424489770

The knowledge of the impact of sensors tolerances in the beamformer performance is of crucial importance in many design cases, especially when superdirective arrays are employed. The availability of the array characteristics (i.e. perturbations on sensors responses and elements displacement), allows to obtain an expectation of the system capabilities corrupted by realistic imperfections. In this paper we discuss the effectiveness of the expected beam pattern as an a priori criterion for the beam-former performance estimation. In particular, the expected beam power pattern has been compared to the actual one, resulted from an experimental investigation of a super-directive microphone array. The tight adherence between the two beam shapes accounts for the effectiveness of the proposed tool in driving the system design. © 2010 ieee.

关键词： Microphone array

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A computationally efficient blind estimator of polynomial phase signals observed by a sensor array

A computationally efficient blind estimator of polynomial ph...

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ieee sensor array and multichannel signal processing workshop

作者： Amar, Alon Leshem, Amir Van Der Veen, Alle-Jan EEMSC Faculty Delft University of Technology Delft 2628 CD Netherlands School of Engineering Bar Ilan University Ramat Gan 52900 Israel

ISBN: (纸本)9781424489770

Consider estimating the parameters of polynomial phase signals observed by an antenna array given that the array manifold is unknown (e.g., uncalibrated array). To date, only an approximated maximum likelihood estimator (AMLE) was suggested, however, it involves a multidimensional search over the entire coefficient space. Instead, we propose a two-step estimation approach, termed as SEparate- EStimate (SEES): First, the signals are separated with a blind source separation technique by exploiting the constant modulus property;Then, the coefficients of each polynomial are estimated using a least squares method from the unwrapped phase of the estimated signal. This estimator does not involve any search in the coefficient spaces and its computational complexity increases linearly with respect to the polynomial order, whereas that of the AMLE increases exponentially. Simulations show that the proposed estimator achieves the Cramér-Rao lower bound (CRLB) at moderate or high signal to noise ratio (SNR). © 2010 ieee.

关键词： Antenna arrays

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Blind extraction algorithm with direct desired signal selection

Blind extraction algorithm with direct desired signal select...

引用

ieee sensor array and multichannel signal processing workshop

作者： Bloemendal, B.B.A.J. Van De Laar, J. Sommen, P.C.W. Eindhoven University of Technology Department of Electrical Engineering Eindhoven Netherlands Philips Research Laboratories Digital Signal Processing Group Eindhoven Netherlands

ISBN: (纸本)9781424489770

In many practical applications we are interested in the extraction of only one desired signal out of a mixture of signals. A disadvantage of most blind extraction approaches proposed in the literature is that they are inefficient in the sense that they also separate or extract undesired signals. To deal with this inefficiency we exploit an a priori guess of direction of arrival related parameters of the desired signal, which serves as a mold. Based on this mold we create linear combinations of noise-free correlation matrices that are used to construct a single matrix with a specific eigenstructure. The eigenvector that corresponds to the smallest eigenvalue of this matrix is the desired extraction filter. Finally it is shown that this approach paves the way to make the algorithm flexible in the utilization of additional a priori information. © 2010 ieee.

关键词： Extraction

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On Toeplitz and Kronecker structured covariance matrix estimation

On Toeplitz and Kronecker structured covariance matrix estim...

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2010 ieee sensor array and multichannel signal processing workshop, SAM 2010

作者： Wirfält, Petter Jansson, Magnus ACCESS Linnaeus Center Signal Processing Lab Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9781424489770

A number of signal processing applications require the estimation of covariance matrices. Sometimes, the particular scenario or system imparts a certain theoretical structure on the matrices that are to be estimated. Using this knowledge allows the design of algorithms exploiting such structure, resulting in more robust and accurate estimators, especially for small samples. We study a scenario with a measured covariance matrix known to be the Kronecker product of two other, possibly structured, covariance matrices that are to be estimated. Examples of scenarios in which such a problem occurs are MIMO-communications and EEG measurements. When the matrices that are to be estimated are Toeplitz structured, we show our algorithms to be able to achieve the Cramér-Rao Lower Bound already at very small sample sizes. © 2010 ieee.

关键词： Covariance matrix

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Steering vector modeling for polarimetric arrays of arbitrary geometry

Steering vector modeling for polarimetric arrays of arbitrar...

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ieee sensor array and multichannel signal processing workshop

作者： Costa, Mário Richter, Andreas Koivunen, Visa Aalto University Department of Signal Processing and Acoustics SMARAD CoE P.O. Box 3000 FIN-02015 TKK Finland

ISBN: (纸本)9781424489770

In this paper, the algebraic modeling of the steering vector for dual-polarized real-world arrays with unknown configuration is addressed. The formalism provided by the wavefield modeling theory is extended to vector-fields such as completely polarized electromagnetic waves. In particular, compact expressions for decomposing the array steering vector in different orthonormal basis functions are proposed. Such decompositions are shown to be equivalent under mild conditions that typically hold in practice. Recent results on algebraic modeling of sensor arrays are generalized to vector-fields and unified. These results allow for high-resolution direction-of-arrival and polarization estimation when array calibration measurement data is available only. We show that reduced computational complexity may be achieved by making use of the Fast Fourier Transform. Such computational savings may be obtained without compromising the performance of the estimation algorithms and irrespective of the antenna array configuration. The results in this paper contribute to array design as well by providing closed-form expressions for the array steering vector, which are useful in optimizing different array performance criteria. Simulations on direction-of-arrival and polarization estimation using a real-world polarimetric array are carried out, validating our analytical results. © 2010 ieee.

关键词： Fast Fourier transforms

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