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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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Analytical PARAFAC Decomposition with Application in Semi-Blind Diversity Detection

Analytical PARAFAC Decomposition with Application in Semi-Bl...

引用

sensor array and multichannel signal processing workshop

作者： Janis Nötzel Christian Arendt Eduard Jorswieck Technische Universität Dresden BMW Group 80788 München Technische Universität München

multichannel signal processing scenarios are a natural domain for application of tensor decomposition methods. In particular, such methods aim to increases the reliability of a wireless communication link by exploiting spatial diversity originating from multiple decorrelated antennas at the receivers side in a single-input-multiple-output channel. A novel analytical PARAFAC method based on Fourier transforms is proposed. It detects relative phase information of the diversity channels. the novel algorithm is embedded into a decoder design that estimates the amplitudes of the communication link as well as antenna noise levels at the receivers in a semi-blind fashion. the performance of the algorithm is analyzed and compared to a state-of-the-art semi-blind decoder.

关键词： Tensile stress signal processing algorithms Antenna arrays Mathematical model Diversity reception Binary phase shift keying

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Optimal Angular sensor Separation for DRSS Localization

Optimal Angular Sensor Separation for DRSS Localization

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sensor array and multichannel signal processing workshop

作者： Jun Li Kutluyı l Doğ anç ay Hatem Hmam UniSA STEM University of South Australia Cyber and ElectronicWarfare Division Defence Science &#x0026 Technology Group

this paper investigates optimal target-sensor geometries for differential received signal strength (DRSS) localization in the 2D-plane. To achieve this, the D-optimality criterion is employed, which maximizes the determinant of the Fisher information matrix (FIM). We observe that equiangular sensor separation maximizes the determinant of the FIM, forming the best geometry, for equal target -sensor ranges under the assumption of identical log-normal noise variances for all sensor measurements. However, when the distances between the target and sensors are different, equiangular sensor separation cannot meet the optimal geometry condition. We provide analytical and numerical solutions for optimal geometries for the specific cases of three and four sensors with non-uniform target-sensor ranges.

关键词： Geometry Location awareness sensor placement Maximum likelihood estimation Numerical analysis array signal processing Conferences

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Combining Artificial and Natural Background Noise in Personal Audio Systems

Combining Artificial and Natural Background Noise in Persona...

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sensor array and multichannel signal processing workshop

作者： Daniel Wallace Jordan Cheer Institute of Sound and Vibration Research University of Southampton Southampton UK

Personal audio systems are designed to deliver spatially separated regions of audio to individual listeners. this paper presents a method for improving the privacy of such systems. the level of a synthetic masking signal is optimised to provide specified levels of intelligibility in the bright and dark sound zones and reduce the potential for annoyance of listeners in the dark zone by responding to changes in ambient noise. Results from a simulated personal audio system indicate that less acoustic contrast is required to produce the same level of privacy when artificial masking is included in the system design, compared with relying on the masking effect of background noise alone. As privacy requirements become more challenging, the advantage gained by incorporating artificial masking increases.

关键词： Noise measurement Audio systems Privacy Psychoacoustics array signal processing

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Uniform and nonuniform V-shaped isotropic planar arrays

Uniform and nonuniform V-shaped isotropic planar arrays

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sensor array and multichannel signal processing workshop

作者： Tansu Filik T. Engin Tuncer Department Electrical and Electronics Engineering Middle East Technical University Ankara Turkey

In this study, isotropic V-shaped uniform and nonuniform arrays are considered. An isotropic array has the same value for the Cramer-Rao bound (CRB) for all direction of arrival (DOA) angles. the conditions for isotropic V-shaped arrays are presented and closed form expressions for V-shaped uniform and nonuniform arrays are found. these expressions return the V-angle for the array. therefore, given the number of sensors and sensor displacements, isotropic performance V-angle can be found easily. V-shaped arrays are compared with circular arrays and it is also shown that both uniform and nonuniform V-shaped arrays have certain advantages.

关键词： arrays sensors Azimuth Estimation Direction of arrival estimation sensor arrays Geometry

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Direction finding and array calibration based on sparse reconstruction in partly calibrated arrays

Direction finding and array calibration based on sparse reco...

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sensor array and multichannel signal processing workshop

作者： Christian Steffens Pouyan Parvazi Marius Pesavento Communication Systems Group Technische Universität Darmstadt Germany

A novel convex optimization problem formulation for source localization using partly calibrated arrays composed of subarrays with unknown displacements is introduced. the proposed formulation is based on sparse reconstruction using a mixed trace- and ℓ 1 -norm minimization and exploits joint sparsity and special structure in the signal model. the new technique is applicable to subarrays of arbitrary topologies and allows the joint estimation of the directions of arrival (DoAs) and the array calibration. As shown by simulations, our new DoA estimation technique outperforms the state of the art method RARE, especially in low number of snapshot and low signal-to-noise ratio regime.

关键词： arrays Estimation Direction-of-arrival estimation Principal component analysis Vectors Minimization

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Sine-Based EB-ESPRIT for Source Localization

Sine-Based EB-ESPRIT for Source Localization

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sensor array and multichannel signal processing workshop

作者： Byeongho Jo Jung-Woo Choi School of Electrical Engineering Korea Advanced Institute of Science and Technology Daejeon South Korea

the eigenbeam-ESPRIT (EB-ESPRIT) is well known as a high-resolution parametric direction-of-arrival (DOA) estimation technique for a spherical microphone array. Unlike other eigenbeam beamformers such as EB-MVDR and EB-MUSIC, there is no need for exhaustive grid-search with EB-ESPRIT. However, when sources are positioned near the equator, the EB-ESPRIT inevitably induces a singularity problem due to the singularity of its tangent function utilized as a directional parameter. Here, a new EB-ESPRIT technique based on a nonsingular directional parameter is proposed. the proposed technique is derived from two sine-based recurrence relations, and hence, can fundamentally avoid the singularity problems and identify more sources than the conventional EB-ESPRIT.

关键词： array signal processing sensor arrays Conferences Microphone arrays

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Unambiguous AOA estimation using SODA interferometry for electronic surveillance

Unambiguous AOA estimation using SODA interferometry for ele...

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sensor array and multichannel signal processing workshop

作者： Peter Q. C. Ly Stephen D. Elton Douglas A. Gray Joy Li Electronic Warfare and Radar Division Defence Science and Technology Organisation Edinburgh SA Australia School of Electrical and Electronic Engineering University of Adelaide Adelaide SA Australia

this paper presents two fast and computationally efficient interferometric algorithms that allow high accuracy, unambiguous angle-of-arrival (AOA) estimates to be obtained using physically large wideband antennas that are suitable for electronic surveillance. the performance of the algorithms are compared against conventional interferometric techniques using simulations and are also verified experimentally.

关键词： Antennas signal to noise ratio Delay Accuracy arrays Interferometry signal processing algorithms

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A low-cost Electrochemical Impedance Spectroscopy-based sensor node for online battery cell monitoring 4

A low-cost Electrochemical Impedance Spectroscopy-based sens...

引用

4th ieee International workshop on Metrology for Automotive (MetroAutomotive)

作者： Fabozzi, Morena Ramilli, Roberta Crescentini, Marco Traverso, Pier Andrea Univ Bologna DEI Cesena Campus Bologna Italy

ISBN: (纸本)9798350384994;9798350384987

this paper proposes a proof-of-concept for a low-cost compact battery cell monitoring system based on Electrochemical Impedance Spectroscopy (EIS). the architecture exploits a multisine excitation signal, which reduces the time required for EIS measurement in the frequency range of interest, enabling online battery monitoring/diagnosis. A comprehensive CAD simulation of the system is performed in TINA-TI to evaluate its performance. the simulation covers the analysis of the general behaviour of the entire system and the complete signal elaboration flow, from analog signal processing to digital analysis of the impedance data based on Discrete Fourier Transform (DFT). this allowed for the analysis of the non-ideal effects of the components, as well as the error induced by the DFT algorithm. Moreover, thermal-noise limitation on the resolution of the system is assessed to verify its capability of detecting variations down to 1 m Omega. Finally, the system is tested in the reconstruction of the impedance spectrum of a battery cell described by an integer-order equivalent circuit model, demonstrating good accuracy. the overall system is realized with low-power off-the-shelf components, representing an innovative solution towards the feasibility of an even more integrated sensor node, which will be designed for implementation at cell level for in-operando sensing.

关键词： lithium-ion battery electrochemical impedance spectroscopy multisine excitation impedance analyzer TINA-TI noise simulation

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A DUAL-LINEAR PREDICTOR APPROACH TO BLIND SOURCE EXTRACTION FOR NOISY MIXTURES

A DUAL-LINEAR PREDICTOR APPROACH TO BLIND SOURCE EXTRACTION ...

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2008 ieee sensor array and multichannel signal processing workshop

作者： Wei Liu Danilo P. Mandic Andrzej Cichocki Department of Electronic & Electrical Engineering University of Sheffield UK Department of Electrical & Electronic Engineering Imperial College London UK Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN Institute of Physical and Chemical Research Japan Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN Japan

A second-order statistics based dual-linear predictor structure is proposed for blind source extraction from noisy instantaneous mixtures. the noise component is assumed to be spatially and temporally white, but the variance information of noise is not required. A detailed proof of the proposed approach is provided and an adaptive algorithm is developed. Simulation results show that it can extract the source signals successfully.

关键词： Blind Source Extraction Linear Predictor Noisy Mixtures Second-order Statistics

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Wideband waveform design for clutter suppression

Wideband waveform design for clutter suppression

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sensor array and multichannel signal processing workshop

作者： Marie Ström Ashkan Panahi Mats Viberg Kent Falk Saab EDS Göteborg Sweden Signal Processing Group Chalmers University Goteborg Sweden

Modern signal generators offer the capability to synthesize arbitrary wideband waveforms for radar and sonar applications. this makes it possible to optimize signals for specific purposes or scenarios. Herein, we discuss how to design a wideband waveform for clutter suppression. We formulate an optimization in terms of mainlobe and sidelobe properties of the ambiguity function, then we provide an approximate solution based on convex relaxation. Numerical evaluation shows the advantage of selecting a smart signal compared to a conventional waveform design. the advantages are shown as a lower probability of false alarm and a higher probability of correct target detection.

关键词： Clutter Optimization signal to noise ratio Wideband Receivers

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