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检索条件"任意字段=2008 IEEE Sensor Array and Multichannel Signal Processing Workshop"

共 1267 条记录，以下是791-800 订阅

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EFFICIENT DESIGN OF FREQUENCY INVARIANT BEAMFORMERS WITH sensor DELAY-LINES

EFFICIENT DESIGN OF FREQUENCY INVARIANT BEAMFORMERS WITH SEN...

引用

ieee sensor array and multichannel signal processing workshop

作者： Zhao, Yong Liu, Wei Langley, Richard J. Univ Sheffield Dept Elect & Elect Engn Commun Res Grp Sheffield S10 2TN S Yorkshire England

ISBN: (纸本)9781424422401

The design of frequency invariant beamformers for traditional tapped delay-line array system can be formulated as a convex optimization problem and solved efficiently using the interior-point methods. This approach is extended to the recently proposed broadband beamforming system with sensor delay-lines and some variations are proposed to cope with the specific requirements in the design. Design examples are provided to show the effectiveness of the proposed method.

关键词： frequency invariant beamformer sensor delay-line convex optimization

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array SELF-CALIBRATION USING SAGE ALGORITHM

ARRAY SELF-CALIBRATION USING SAGE ALGORITHM

引用

ieee sensor array and multichannel signal processing workshop

作者： Chung, Pei-Jung Wan, Shuang Univ Edinburgh Sch Engn & Elect Inst Digital Commun Edinburgh EH8 9YL Midlothian Scotland

ISBN: (纸本)9781424422401

The performance of most existing array processing algorithms relies heavily on the precise knowledge of array manifold, which is decided by individual sensor characteristics and array configuration. A major challenge for self-calibration techniques is the increased computational burden due to additional perturbation parameters. In this contribution, a novel procedure for array self-calibration is presented. We apply the well known numerical method, the Space Alternating Generalized EM algorithm (SAGE), to simplify the multi-dimensional search procedure required for finding maximum likelihood (ML) estimates. Simulation shows that the proposed algorithm outperforms existing methods that are based on the small perturbation assumption. Furthermore, the proposed algorithm remain robust in critical scenarios including large sensor position errors and closely located signals.

关键词： array processing

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A BLIND array CALIBRATION ALGORITHM USING A MOVING SOURCE

A BLIND ARRAY CALIBRATION ALGORITHM USING A MOVING SOURCE

引用

ieee sensor array and multichannel signal processing workshop

作者： Efstathopoulos, Georgios Manikas, Athanassios Univ London Imperial Coll Sci Technol & Med Dept Elect & Elect Engn London SW7 2AZ England

ISBN: (纸本)9781424422401

This paper is concerned with the problem of antenna array calibration in a non-stationary signal environment. In detail, this study focuses on calibration of the antenna array geometry by employing properties of the differential geometry of the array manifold vector. The proposed algorithm is totally blind, since the only available information to the array system is the received signal emitted by a moving source of unknown characteristics. The only assumption made is that the movement of the source has an angular component and that the position of one sensor with regards to the reference point is known. It is shown through Monte Carlo simulations that this method significantly improves the ability of the array system to estimate characteristics of the moving source, such as its direction of arrival (DOA), in addition to reducing the positioning errors of the array elements.

关键词： Calibration

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UNIFORM AND NONUNIFORM V-SHAPED ISOTROPIC PLANAR arrayS

UNIFORM AND NONUNIFORM V-SHAPED ISOTROPIC PLANAR ARRAYS

引用

ieee sensor array and multichannel signal processing workshop

作者： Filik, Tansu Tuncer, T. Engin METU Elect & Elect Eng Dept Ankara Turkey

ISBN: (纸本)9781424422401

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： array signal processing array geometry isotropic array direction of arrival estimation V-shaped array

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ALGORITHMS FOR TRACKING WITH AN array OF MAGNETIC sensorS

ALGORITHMS FOR TRACKING WITH AN ARRAY OF MAGNETIC SENSORS

引用

ieee sensor array and multichannel signal processing workshop

作者： Kozick, Richard J. Sadler, Brian M. Bucknell Univ Lewisburg PA 17837 USA Army Res Lab Adelphi MD 20783 USA

ISBN: (纸本)9781424422401

We consider the problem of tracking a magnetic target as it travels in a straight-line path in the vicinity of N magnetic sensors. The target is modeled as a magnetic dipole, and we study tracking algorithms when the sensors are total-field (scalar) magnetometers and vector magnetometers. A novel, computationally-efficient vector-field algorithm is presented that jointly processes the data from N sensors, yielding estimates of the track and the target dipole moment vector. Simulation examples are included to illustrate the performance of the total-field and vector algorithms.

关键词： Magnetic sensors

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COMPRESSIVE SENSING FOR sensor CALIBRATION

COMPRESSIVE SENSING FOR SENSOR CALIBRATION

引用

ieee sensor array and multichannel signal processing workshop

作者： Cevher, Volkan Baraniuk, Richard Rice Univ Dept Elect & Comp Engn Houston TX 77005 USA

ISBN: (纸本)9781424422401

We consider a calibration problem, where we determine an unknown sensor location using the known track of a calibration target and a known reference sensor location. We cast the calibration problem as a sparse approximation problem where the unknown sensor location is determined over a discrete spatial grid with respect to the reference sensor. To achieve the calibration objective, low dimensional random projections of the sensor data are passed to the reference sensor, which significantly reduces the inter-sensor communication bandwidth. The unknown sensor location is then determined by solving an l(1)-norm minimization problem (linear program). Field data results are provided to demonstrate the effectiveness of the approach.

关键词： Direction-of-arrival estimation Microphone arrays sensor networks

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WIDEBAND DOA ESTIMATION FOR NONUNIFORM LINEAR arrayS WITH WIENER array INTERPOLATION

WIDEBAND DOA ESTIMATION FOR NONUNIFORM LINEAR ARRAYS WITH WI...

引用

ieee sensor array and multichannel signal processing workshop

作者： Yasar, T. Kaya Tuncer, T. Engin METU Dept Elect & Elect Engn Ankara Turkey

ISBN: (纸本)9781424422401

Coherent wideband DOA estimation for non-uniform linear arrays (NLA) is considered. array interpolation is used for two mappings. In the first mapping, NLA is mapped to a uniform linear array with the same array aperture. In the second mapping covariance matrices for each frequency bin are mapped to a single one at the center frequency for coherent DOA estimation. A Wiener formulation is used for array interpolation where both signal and noise powers are estimated with maximum likelihood method. Different approaches are compared and the advantages of wideband processing versus narrowband processing are outlined. The accuracy of the SNR estimation is high and it is shown that Wiener array interpolation significantly improves the DOA estimation performance in both narrowband and wideband

关键词： Mapping

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COMPRESSED SENSING OF GAUSS-MARKOV RANDOM FIELDS WITH WIRELESS sensor NETWORKS

COMPRESSED SENSING OF GAUSS-MARKOV RANDOM FIELDS WITH WIRELE...

引用

ieee sensor array and multichannel signal processing workshop

作者： Oka, Anand Lampe, Lutz Univ British Columbia Dept Elect & Comp Engn Vancouver BC V5Z 1M9 Canada

ISBN: (纸本)9781424422401

We propose a scalable and energy efficient method for reconstructing a 'sparse' Gauss-Markov random field that is observed by an array of sensors and described over wireless channels to a fusion center. The encoder is universal, i.e. invariant to the statistical model of the source and the channel, and is based on compressed sensing. The reconstruction algorithms exploit the a-priori statistical information about the field and the channel at the fusion center to yield a performance comparable to information theoretic bounds. Furthermore, by putting stringent constraints on the sensing matrix we avoid (or even eliminate) inter-sensor communication while suffering negligible degradation in performance.

关键词： Compressed sensing

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LOW-COMPLEXITY IMPLEMENTATION FOR WORST-CASE OPTIMIZATION-BASED ROBUST ADAPTIVE BEAMFORMING

LOW-COMPLEXITY IMPLEMENTATION FOR WORST-CASE OPTIMIZATION-BA...

引用

ieee sensor array and multichannel signal processing workshop

作者： Jiang, Biao Hangzhou Appl Acoust Res Inst Underwater Acoust Syst Lab Hangzhou Peoples R China

ISBN: (纸本)9781424422401

In this paper, an efficient low-complexity robust adaptive beamforming method based on worst-case performance optimization is proposed. Lagrangian method was applied to obtain the expression for the robust adaptive weight vector, which is optimized on the boundary of the steering vector uncertainty region, that is to say, in the worst mismatch case. Combining the constraint condition and the eigendecomposition of the array covariance matrix, root-finding method is used to obtain the optimal Lagrange multiplier. Then, the diagonal loading-like robust weight vector is achieved. ne implementation efficiency is greatly improved since the main computational burden is the eigendecomposition operator. Numerical results show that the performance of the proposed method is nearly identical to the robust Capon beamforming.

关键词： Robustness array signal processing Loading signal to noise ratio arrays Interference Algorithm design and analysis

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POLYNOMIAL ROOTING-BASED DIRECTION FINDING FOR ARBITRARY array CONFIGURATIONS

POLYNOMIAL ROOTING-BASED DIRECTION FINDING FOR ARBITRARY ARR...

引用

ieee sensor array and multichannel signal processing workshop

作者： Costa, Mario Richter, Andreas Belloni, Fabio Koivunen, Visa Helsinki Univ Technol Dept Signal Proc & Acoust SMARAD CoE FIN-02015 Helsinki Finland

ISBN: (纸本)9781424422401

In this paper, we propose angle of arrival estimation algorithms for arbitrary array geometries. The proposed methods extend the root-WSF [1] and Modified Variable Projection (MVP) [2] algorithms to arbitrary array configurations. This is accomplished by employing the recently introduced Manifold Separation Technique (MST) [3], which stems from wavefield modelling [4]. The algorithms process the data in the element-space domain, i.e. no mapping of the data that introduces errors is required. Moreover, coherent sources can be handled. The proposed MST-based MVP algorithm shows a statistical performance close to the Cramer-Rao Lower Bound (CRLB) [5, 6]. The performance is illustrated using calibration data from two real-world arrays.

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