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Robust focusing for wideband MVDR beamforming

Robust focusing for wideband MVDR beamforming

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sensor array and multichannel signal processing workshop

作者： Yaakov Bucris Israel Cohen Miriam A. Doron Department of Electrical Engineering Technion-Israel Institute of Technology Haifa Israel RAFAEL Advanced Defense Systems Limited Haifa Israel

In this paper, we propose and study two robust methods for coherent focused wideband Minimum Variance Distortionless Response (MVDR) beamforming. The focusing procedure introduces a frequency dependent focusing error which causes performance degradation, especially at high signal to Noise Ratio (SNR) values. The proposed robust methods aim at reducing the sensitivity of the coherent MVDR to focusing errors. The first method is based on modifying the beamformer optimization problem and generalizing it to bring into account the focusing transformations and the second is based on modifying the focusing scheme itself. A numerical study demonstrates a significant performance improvement of the proposed robust schemes when applied, using the Wavefield Interpolated Narrowband Generated Subspace (WINGS) focusing transformation.

关键词： Focusing Robustness signal to noise ratio Wideband arrays Sensitivity array signal 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

sensor array and multichannel signal processing workshop

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

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 beamformer performance estimation. In particular, the expected beam power pattern has been compared to the actual one, resulted from an experimental investigation of a superdirective microphone array. The tight adherence between the two beam shapes accounts for the effectiveness of the proposed tool in driving the system design.

关键词： arrays Microphones Acoustic beams Robustness Sensitivity Shape Random variables

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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...

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sensor array and multichannel signal processing workshop

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

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.

关键词： arrays Analytical models Maximum likelihood detection Conferences Multiple signal classification Detection algorithms Testing

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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...

引用

sensor array and multichannel signal processing workshop

作者： Alon Amar Amir Leshem Alle-Jan van der Veen EEMSC Faculty Delft University of Technnology Delft Netherlands School of Engineering Bar-llan University Ramat-Gan Israel

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).

关键词： Polynomials arrays signal to noise ratio Direction of arrival estimation Estimation Frequency estimation Frequency modulation

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Two-dimentional direction-of-arrival estimation of coherent signals with L-sharped array

Two-dimentional direction-of-arrival estimation of coherent ...

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sensor array and multichannel signal processing workshop

作者： Guangmin Wang Jingmin Xin Nanning Zheng Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University China

In this paper, a new method is proposed for two-dimensional (2-D) direction-of-arrivals (DOAs) estimation of multiple narrowband coherent signals impinging on an L-shaped sensor arrays structured by two uniform linear arrays (ULAs). The coherency of incident signals is decorrelated through subarray averaging technique, and the null space is obtained through linear operator of the cross-correlation matrix between the received data of two ULAs without eigendecomposition. The elevation angles and the quasi-azimuth angles are firstly decoupled and estimated, and the pair-matching of two groups of angles can be accomplished by using a novel method. Then by investigating the geometrical relationship, the azimuth angles can be obtained. Furthermore the asymptotic mean-square-error (MSE) of the estimated elevation and azimuth angles are derived, and the effectively of the proposed method is verified through numerical examples.

关键词： arrays Estimation Direction of arrival estimation Covariance matrix signal to noise ratio Azimuth Antennas

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Likelihood-Ratio and channel based access for energy-efficient detection in wireless sensornetworks

Likelihood-Ratio and channel based access for energy-efficie...

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sensor array and multichannel signal processing workshop

作者： Kobi Cohen Amir Leshem School of Engineering Bar-llan University Ramat-Gan Israel

We examine transmission scheduling by medium access control (MAC) for energy-efficient detection using Wireless sensor Networks (WSN). We focus on the binary hypothesis testing problem. The decision is made by an access point and based on received data from sensors that transmit through a fading channel. We study the significance of exploiting both Channel-State Information (CSI) and Likelihood-Ratio Information (LRI) to design adequate MAC protocol that minimizes the total transmission energy required for the detection problem. By formulating the problem as a Stochastic Shortest Path (SSP) problem we design the LRI and CSI Based Access (LCBA) protocol. LCBA trades off between LRI and CSI to minimize the total transmission energy. It allows sensors to access the channel according to the optimal policy which solves the formulated SSP problem.

关键词： Wireless sensor networks Fading sensors Indexes Channel estimation Media Access Protocol

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Consensus for distributed EM-based clustering in WSNs

Consensus for distributed EM-based clustering in WSNs

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sensor array and multichannel signal processing workshop

作者： Silvana Silva Pereira Sergio Barbarossa Alba Pagès-Zamora SPCOM Group Universitat Politècnica de Catalunya-Barcelona Tech (UPC) Barcelona Spain INFOCOM Dpt. Sapienza University of Rome Rome Italy

A distributed EM algorithm with consensus is proposed for density estimation and clustering using WSNs in the presence of mixtures of Gaussians. The EM algorithm is a general framework for maximum likelihood estimation in hidden variable models, usually implemented in a central node with global information of the network. The average consensus algorithm is a simple robust scheme for computing averages in a distributed manner. In this contribution, we run a distributed EM algorithm where the nodes obtain global knowledge of the statistics through consensus with local information exchange only in a WSN with instantaneous random links. Starting from a set of initial values, the nodes are able to compute the complete statistics of a mixture of Gaussians and classify into clusters according to the sensed density using a simple decision rule. A trade off between power consumption and final accuracy of the estimates is established through simulations.

关键词： Clustering algorithms Wireless sensor networks Estimation Convergence signal processing algorithms Classification algorithms Topology

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A SIMPLE ANGULAR TRANSMIT DIVERSITY SCHEME USING A SINGLE RF FRONTEND FOR PSK MODULATION SCHEMES

A SIMPLE ANGULAR TRANSMIT DIVERSITY SCHEME USING A SINGLE RF...

引用

10th ieee workshop on signal processing Advances in Wireless Communications

作者： Alrabadi, Osama N. Kalis, Antonis Papadias, Constantinos B. Athens Informat Technol Broadband Wireless & Sensor Networks Grp BWiSE Athens Greece

ISBN: (纸本)9781424436958

A Simple angular transmit diversity scheme based on switching between a pair of weakly-correlated beam patterns at one end of the wireless link (the wireless handheld terminal) in an outdoor macro-cellular radio channel is proposed. The diversity scheme is employed using a simple switched parasitic array (SPA) with a single transceiver, and an array area of 0.0625 square wavelengths'. The scheme which requires no channel state information (CSI) at the transmitter, provides mainly a diversity gain to combat against multipath fading. The performance/capacity of the proposed diversity scheme is compared (through simulations) to its counterpart spatial transmit diversity scheme under the same channel conditions.

关键词： Channel state information

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Multi-channel reconstruction from a randomly sampled array

Multi-channel reconstruction from a randomly sampled array

引用

ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Ryan B. Casey Kenneth M. Pesyna Christopher B. Smith Southwest Research Institute San Antonio TX USA Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

ISBN: (纸本)9781424451791;9781424451807

Compressive sampling has a rich theoretical background in a number of fields from image processing to medical imaging to geophysical data analysis. In this paper we explore compressive sampling from the perspective of classic array processing. We derive a basis appropriate for reconstructing multichannel data which is sparsely sampled from a uniform linear array. Here we reconstruct both time and spatial components of the signal using randomly sampled time series. We present both theoretical and experimental evidence that compressive sampling can be successful for traditional array processing applications.

关键词： Image coding Image reconstruction Image sampling signal sampling array signal processing Image processing Costs Linear antenna arrays Hardware Partial differential equations

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BSS for improved interference estimation for Blind speech signal Extraction with two microphones

BSS for improved interference estimation for Blind speech si...

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ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Yuanhang Zheng Klaus Reindl Walter Kellermann Multimedia Communications and Signal Processing University of Erlangen Nuremberg Erlangen Germany

ISBN: (纸本)9781424451791;9781424451807

Blind source extraction (BSE) as desirable for acoustic cocktail party scenarios requires estimates for the target or interfering signals. Conventional single-channel approaches for obtaining the interference estimate rely on noise and interference estimates during absence of the target signal. For multichannel approaches using multiple microphone signals, a separation of simultaneously active target and interference signals becomes possible if the positions of the target and interfering sources are known. We propose a new method which exploits directional BSS (blind source separation with a geometric constraint) to estimate the interfering speech sources and diffuse background noise jointly and blindly. Herewith we can effectively deal with the underdetermined BSS scenario (more point sources than sensors) in reverberant environments and can even allow for additional babble noise in the background.

关键词： Interference Microphones Source separation Speech enhancement Background noise sensor arrays MIMO signal processing Blind source separation array signal processing

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