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检索条件"主题词=array signal processing"

共 23788 条记录，以下是121-130 订阅

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Optimal array signal processing in unknown noise environments via eigendecomposition approaches

Optimal array signal processing in unknown noise environment...

引用

International Symposium on Antenna Technology and Applied Electromagnetics and the Canadian Radio Science Meeting, ANTEM/URSI

作者： Qiang Wu Kon Max Wong James P. Reilly Communications Research Laboratory McMaster University Hamilton Ontario Canada L8S 4K1

In array signal processing, we most commonly use the spatially white noise model, and most of the high resolution methods are established on such a noise model. However, in real environments, the noise model is often either unknown or undeterminable. This may cause the high resolution methods to suffer severe performance degradation. In this paper, under the assumption that noise correlation is spatially limited, using two separated arrays, we propose a new approach for consistent directions of arrival (DOA) estimations in unknown noise environments. This new method can be also applied in radar or sonar tracking and time series analysis. For a single array the new method is also applicable.

关键词： Direction-of-arrival estimation Estimation arrays Correlation array signal processing signal resolution Parallel processing

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Biomimetic array signal processing Based on Dynamical Properties of Coupling Auditory System

Biomimetic Array Signal Processing Based on Dynamical Proper...

引用

2016 IEEE 13th International Conference on signal processing（ICSP2016）

作者： Yanli Hou Boning Hu Xuejun Ji Kewen Xia The 5th Research Institute of China Electronics Technology Group Corporation Institute of Information Science and Engineering Hebei University of Science and Technology School of Electronic and Information Engineering Hebei University of Technology The 54th Research Institute of China Electronics Technology Group Corporation

Modern direction finding(DF) methods usually use antenna arrays to receive information from an unknown radiation source, and further process the information in order to locate the transmission source. Small aperture array is easy to carry, install, deploy and operate because of small volume, light weight, and it is preferred to large aperture array, and is frequently used in many aspects such as the navigation of ships and aircrafts, locating interfering or illegal transmitters. But at the same time, small aperture array has poor performance in precision. This work demonstrates the signals received by small aperture array are processed coupled, and the differences between signals in amplitude and phase are amplified greatly,which makes it possible that small aperture array is able to have good performance.

关键词： array signal processing biomimetic coupled processing ormia ochracea

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Application of array signal processing techniques to code division multiple access systems for blind channel estimation

Application of array signal processing techniques to code di...

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Tsung-Hsien Liu Yao-Chieh Li Chili-Chun Chang National Cheng Kung University Taiwan

ISBN: (纸本)0780378229

In this paper, we study blind channel estimation in code division multiple access systems from array signal processing perspective. As there are three direction-of-arrival estimation methods in array signal processing, we formulate three corresponding blind channel estimation methods in a framework, although some of which have already been reported. From our analysis and simulations, the constrained and subspace methods for blind channel estimation outperforms the conventional method. The conventional method is computationally more efficient, and is suitable for the scenario where only few users exist and where good power control is taken care of.

关键词： array signal processing Multiaccess communication Blind equalizers Subspace constraints Fading Covariance matrix Direction of arrival estimation signal processing algorithms Higher order statistics Eigenvalues and eigenfunctions

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A new super resolution method in antenna array signal processing

A new super resolution method in antenna array signal proces...

引用

IEEE Conference on Decision and Control

作者： N.E. Barabanov A.A. Liss Department of Mathematics North Dakota State University Fargo ND USA Department of Software Engineering Saint Petersburg State Electrotechnical University Saint Petersburg Russia

The paper is devoted to the problem of super resolution of acoustic signals in different signals/noise relations. It presents a new method, which in typical situations performs better than the known ones.

关键词： signal resolution Antenna arrays array signal processing Frequency Directive antennas Covariance matrix Receiving antennas Antennas and propagation Vectors Acoustic signal processing

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Optimization of array geometry for identifiable high resolution parameter estimation in sensor array signal processing

Optimization of array geometry for identifiable high resolut...

引用

International Conference on Information, Communications and signal processing

作者： C.W. Ang C.M. See A.C. Kot School of Electrical and Electronic Engineering Nanyang Technological University Singapore

This paper is concerned with the optimization of array geometry using genetic algorithms as the optimization tool. Recent advances in array processing have been focused on developing high resolution algorithms for estimating signal parameters. The problem of optimal design of the array geometry has been neglected and therefore addressed in this paper. An optimal array geometry will correspond to one with the lowest Cramer-Rao bound (CRB) and which gives rise to minimal ambiguities at low SNR. An approach using genetic algorithms (GA) to minimise the CRB, subjected to the ambiguity constraint is proposed and implemented. By utilizing the parallel search capability of the GA, this approach constitutes an efficient design tool for the design of an array of any size and configuration. An alternative using simulated annealing is also proposed. Both approaches are shown to produce optimum array geometries that are superior to the conventional circular array in terms of accuracy and identifiability.

关键词： Sensor arrays Geometry Parameter estimation array signal processing Genetic algorithms signal resolution Direction of arrival estimation Estimation error Narrowband signal processing algorithms

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An array signal processing super-resolution fast algorithm

An array signal processing super-resolution fast algorithm

引用

International Conference on signal processing Proceedings (ICSP)

作者： Zhang Yongjun Han Ping Xu Feiwei Institute of Command and Technology COSTIND Beijing China

This paper provides array signal processing super-resolution fast algorithm. This algorithm is based on the eigenvalue shift of the covariance matrix and the power iteration of the shift covariance matrix. It does not need the inverse matrix. It converges quickly and only needs several iterations to converge to solution. Its architecture is very simple and easily implemented.

关键词： signal processing algorithms array signal processing signal resolution Covariance matrix Eigenvalues and eigenfunctions Geometry signal processing Sonar applications Earth Radio astronomy

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Using the bootstrap for robust detection in array signal processing

Using the bootstrap for robust detection in array signal pro...

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Asilomar Conference on signals, Systems & Computers

作者： P. Pelin M. Viberg Department of Signals and Systems Signal Processing Chalmers University of Technology Gothenburg Sweden

A critical problem in many signal processing applications is the determination of the correct model order for example, the number of multipath components in a received communication signal. One approach to detect the model order is to use the distribution of the criterion function of the estimator applied to find interesting parameters. Unfortunately, the nominal distribution of such a criterion function relies heavily on a correct model of the observed signal. In practice, with modeling errors present, the distribution is unknown. For robust detection based on the criterion function of a certain class of estimators, a two-step procedure is proposed. First, an alternative representation of the residuals is found using a predictor. Second, using bootstrap resampling, a parameter is estimated from the new residuals. This parameter transforms the criterion function to pivotal form. Numerical experiments show robustness to a range of possible modeling errors. An example from real measured array data is included.

关键词： Robustness array signal processing Parameter estimation Multiaccess communication Testing Matrices signal processing Least squares methods Electronic mail Error correction

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Fast-convergence algorithm for ICA-based blind source separation using array signal processing

Fast-convergence algorithm for ICA-based blind source separa...

引用

IEEE/SP Workshop on Statistical signal processing (SSP)

作者： H. Saruwatari T. Kawamura K. Shikano Graduate School of Information Science Nara Institute of Science and Technology Ikoma Nara Japan

We propose a new algorithm for blind source separation (BSS), in which independent component analysis (ICA) and beamforming are combined to resolve the low-convergence problem through optimization in ICA. The proposed method consists of the following two parts: frequency-domain ICA with direction-of-arrival (DOA) estimation, and null beamforming based on the estimated DOA. The alternation of learning between ICA and beamforming can realize fast- and high-convergence optimization. The results of the signal separation experiments reveal that the signal separation performance of the proposed algorithm is superior to that of the conventional ICA-based BSS method.

关键词： signal processing algorithms Blind source separation array signal processing Independent component analysis Source separation Direction of arrival estimation Microphone arrays Frequency domain analysis Frequency estimation Equations

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Locally optimal covariance matrix estimation techniques for array signal processing applications

Locally optimal covariance matrix estimation techniques for ...

引用

Asilomar Conference on signals, Systems & Computers

作者： Y.I. Abramovich N.K. Spencer A.Y. Gorokhov CSSIP Mawson Lakes SA Australia Ubiquitous Communication Systems Group Philips Research Laboratories Eindhoven Netherlands

ISBN: (纸本)078037147X

Previous results on the detection-estimation of more uncorrelated Gaussian sources than sensors in sparse linear antenna arrays reinforces the need for an accurate maximum likelihood (ML) estimation of structured covariance matrices. A lower bound on the maximum likelihood ratio (LR) is introduced and is shown to be effective in assessing nonoptimal solutions. We show that for this application, estimation techniques based on least-squares criteria lead to results that fail to approach this lower bound, even for an asymptotically large sample volume. We introduce a LR optimisation method that generates a class of solutions that statistically exceed this bound.

关键词： Covariance matrix array signal processing Sensor arrays Maximum likelihood estimation Linear antenna arrays Testing Maximum likelihood detection Direction of arrival estimation Buildings Australia

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Neural network based sensor array signal processing

Neural network based sensor array signal processing

引用

International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

作者： D. Chung F.L. Merat Department of Electrical Engineering and Applied Physics Case Western Reserve University Cleveland OH USA

An autoassociative memory using neural networks is proposed for sensor failure detection and correction. A classical approach to sensor failure detection and correction relies upon complex models of physical systems, however, a neural network approach can be used to represent systems through training for which mathematical models can not be formulated. In such cases, a neural network autoassociative memory can be used to predict sensor outputs. Differences between measured sensor outputs and sensor outputs estimated by the autoassociative memory, can be used to identify faulty sensors. Median filtering or other signal processing schemes may then be used to correct faulty sensor outputs. This technique can be used to process data from MEMS (micro electromechanical systems) or other sensor arrays.

关键词： Sensor arrays Neural networks array signal processing Electromechanical sensors Sensor systems Mathematical model Fault diagnosis Filtering Micromechanical devices Electromechanical systems

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