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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211-220 订阅

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DOA Estimation for Coexistence of Circular and Non-Circular signals Based on Atomic Norm Minimization

DOA Estimation for Coexistence of Circular and Non-Circular ...

引用

sensor array and multichannel signal processing workshop

作者： Liping Teng Qing Wang Hua Chen Wei-Ping Zhu Wei Liu Jingjing Cai Schcol of Electrical and Information Engineering Tianjin University Tianjin China Key Laboratory of Intelligent Perception and Advanced Control of State Ethnic Affairs Commission Dalian China Department of Electrical and Computer Engineering Concordia University Montreal Canada Department of Electronic and Electrical Engineering University of Sheffield Sheffield United Kingdom Department of Electronic Engineering Xidian University Xian China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

In this paper, a gridless DOA estimation method with coexistence of non-circular and circular signals is proposed by employing an enhanced sparse nested array, whose virtual array has no holes. The virtual signals derived from both sum and difference co-arrays are constructed based on atomic norm minimization. Simulation results are provided to demonstrate the performance of the proposed method.

关键词： Direction-of-arrival estimation array signal processing Conferences Computer simulation Estimation Apertures Minimization

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Robust Adaptive Beamforming of LFM signals Based on Interference-plus-Noise Covariance Matrix Reconstruction in Fractional Fourier Domain

Robust Adaptive Beamforming of LFM Signals Based on Interfer...

引用

sensor array and multichannel signal processing workshop

作者： Jian Lu Jian Yang Xinxin Liu Rocket Force University of Engineering Xi’an China School of Electronic Engineering Xidian University Xi’an China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

The linear frequency modulation (LFM) signal can accumulate as an impulse by the fractional Fourier transform (FRFT), and the phase differences among the peaks on the sensors mainly depend on the direction of arrival of the LFM signal and the antenna structure. A novel robust adaptive beamforming is proposed by the interference-plus-noise covariance matrix (INCM) reconstruction in fractional Fourier domain. The FRFT is applied to the radar echoes and then the peaks can be extracted to reconstruct the INCM with the Capon spatial spectrum. The optimal weight vector can be obtained by solving the optimization problem. Simulation results demonstrate that the proposed method can efficiently suppress the deception interferences of false targets, and outperform other tested beamformers across a wide range of signal-to-noise ratios.

关键词： array signal processing Simulation Radar Radar antennas sensors Covariance matrices Time-domain analysis

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DOA Estimation by Two-Dimensional Interpolation in the Presence of Mutual Coupling

DOA Estimation by Two-Dimensional Interpolation in the Prese...

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sensor array and multichannel signal processing workshop

作者： Qi Liu Hui Cao Yuntao Wu Changhai Huang Department of Electrical and Computer Engineering National University of Singapore Singapore School of Information Engineering Wuhan University of Technology Wuhan China School of Computer Science and Engineering Wuhan Institute of Technology Wuhan China Merchant Marine College Shanghai Maritime University Shanghai China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

In mobile communication, mutual coupling between array elements will affect the estimation performance of the existing direction of arrival (DOA) estimators. To tackle this problem, an accurate DOA estimation method for coprime array is developed, where the effect of mutual coupling is eliminated by the banded complex symmetric Toeplitz matrix, and further weakened via two-dimensional (2-D) interpolation. The accuracy of the proposed algorithm is verified by the simulation results in comparison of several DOA estimation approaches as well as Cramér-Rao lower bound (CRLB).

关键词： Mutual coupling Interpolation Direction-of-arrival estimation Symmetric matrices array signal processing Simulation Two dimensional displays

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POPLAR: Parafac2 decOmPosition using auxiLiAry infoRmation

POPLAR: Parafac2 decOmPosition using auxiLiAry infoRmation

引用

sensor array and multichannel signal processing workshop

作者： Ekta Gujral Georgios Theocharous Evangelos E. Papalexakis UC Riverside Adobe Inc

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

PARAFAC2 is a powerful method for analyzing multi-modal data consisting of irregular frontal slices. In this work, we propose POPLAR method that imposes graph Laplacians constraints induced by the similarity symmetric tensor as auxiliary information to force decomposition factors to behave similarly and the method is developed using AO-ADMM for 3-way PARAFAC2 tensor decomposition. To the best of our knowledge, POPLAR is the first approach to incorporate graph Laplacians constraints using auxiliary information. We extensively evaluate POPLAR’s performance in comparison to state-of-the-art approaches across synthetic and real dataset, and POPLAR clearly exhibits better performance with respect to the Fitness (better 3−8%), and F1 score (better 5−20%) among the state-of-the-art factorization method. Furthermore, the running time for the method is comparable to the state-of-art method.

关键词： Tensors Laplace equations array signal processing Conferences Force sensor arrays

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A Gridless Wideband DOA Estimation Based On Atomic Norm Minimization

A Gridless Wideband DOA Estimation Based On Atomic Norm Mini...

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sensor array and multichannel signal processing workshop

作者： Yuanyuan Jiang Dan Li Xiaohuan Wu Wei-Ping Zhu Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

This paper proposes a new method for wideband directionof-arrival (DOA) estimation. The main idea of the proposed method is focusing the array output on frequency point to the reference frequency point. But different from coherent signalsubspace method (CSSM), it has no requirement of an initial DOA estimation. Atomic norm minimization (ANM) is then applied after the focusing step. Our proposed method is able to achieve better estimation performance than other wideband DOA estimators. Numerical simulations are carried out to demonstrate the performance of the proposed method compared to existing ones.

关键词： Direction-of-arrival estimation Frequency-domain analysis Simulation Conferences Estimation Focusing Minimization

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Sample complexity trade-offs for synthetic aperture based high-resolution estimation and detection

Sample complexity trade-offs for synthetic aperture based hi...

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sensor array and multichannel signal processing workshop

作者： Heng Qiao Pulak Sarangi Yazeed Alnumay Piya Pal Department of Electrical and Computer Engineering University of California San Diego

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

This paper critically examines the potential performance benefits offered by motion of sparse arrays for direction- of-arrival (DOA) estimation. The motivation behind utilizing array motion is to increase the number of consecutive difference lags. However, creating a synthetic array also requires more temporal measurements compared to the static (non-synthetic) array. For the first time, we rigorously analyze the trade-off between the required number of temporal samples and the length of the difference co-array to understand when synthetic arrays offer distinct advantages. As a concrete result, we show that if the ratio of the number of consecutive lags of the difference coarray of sparse arrays with and without motion is above a universal threshold, the synthetic array outperforms its non-synthetic counterpart and has a smaller estimation error. Our claims are demonstrated both theoretically and through numerical experiments 1 .

关键词： Estimation error Direction-of-arrival estimation array signal processing Atmospheric measurements Conferences Apertures Particle measurements

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Persymmetric Subspace Rao and Wald Tests for Distributed Target in Partially Homogeneous Environment

Persymmetric Subspace Rao and Wald Tests for Distributed Tar...

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sensor array and multichannel signal processing workshop

作者： Yongchan Gao Linlin Mao Hongbing Ji Liyan Pan Department of Electronic Engineering Xidian University Xi’an China Institute of Acoustics Chinese Academy of Sciences Beijing China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

We consider the problem of distributed target detection in partially homogeneous Gaussian clutter with unknown covariance matrix. The target is assumed to lie in a multirank subspace with unknown coordinates. By incorporating the persymmetric structure of the covariance matrix into the detector design, we devise a persymmetric subspace Rao detector (PerRao) and a persymmetric subspace Wald detector (Per-Wald). It is remarkable that the Per-Rao coincide with the Per-Wald in the partially homogeneous environment, and both detectors are shown to ensure constant false alarm rate (CFAR) with respect to the covariance matrix. Numerical examples verify the superiority of the proposed methods in training-restricted situations.

关键词： Training array signal processing Conferences Adaptive arrays Detectors Object detection Covariance matrices

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A Gridless Method for Doa Estimation Under the Coexistence of Mutual Coupling and Unknown Nonuniform Noise

A Gridless Method for Doa Estimation Under the Coexistence o...

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sensor array and multichannel signal processing workshop

作者： Dan Li Yuanyuan Jiang Xiaohuan Wu Wei-Ping Zhu Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

This paper addresses the issue of direction-of-arrival (DOA) estimation under the coexistence of mutual coupling and nonuniform noise. We first construct a selection matrix based on the structural characteristics of the mutual coupling matrix (MCM) to form a new manifold matrix which is not affected by the mutual coupling effect. Then, we employ the covariance fitting criteria to form a semidefinite programming for DOA estimation. Compared to most of existing sparse methods, our method does not require discretization of the angle space, hence is able to achieve super-resolution. Simulations are carried out to verify the effectiveness of the propose method.

关键词： Manifolds Mutual coupling Direction-of-arrival estimation Fitting Superresolution Estimation signal processing algorithms

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A Compressive Sensing Approach for Single-Snapshot Adaptive Beamforming

A Compressive Sensing Approach for Single-Snapshot Adaptive ...

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sensor array and multichannel signal processing workshop

作者： Huiping Huang Abdelhak M. Zoubir Hing Cheung So Technische Universität Darmstadt City University of Hong Kong

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

This paper introduces a compressive sensing approach for single-snapshot adaptive beamforming. The observation data model is considered as source components in additive white noise, and then a compressive sensing formulation is introduced to estimate the parameters of the interference signals. That is, a LASSO regression problem is proposed and solved, yielding the directions as well as the powers of the interference signals. On the other hand, the noise power is estimated by means of averaging the squares of the difference between the observation data and the estimate of the source components. Finally, the interference-plus-noise covariance matrix is reconstructed and used for adaptive beamformer design. Simulation results show better performance of the proposed beamformer than several existing beamformers, in the case of a single snapshot.

关键词： array signal processing Simulation Conferences Interference Additive white noise Data models sensors

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Design of adaptive detectors for FDA-MIMO radar

Design of adaptive detectors for FDA-MIMO radar

引用

sensor array and multichannel signal processing workshop

作者： Lan Lan Angela Marino Augusto Aubry Antonio De Maio Guisheng Liao Jingwei Xu National Key Laboratory of Radar Signal Processing Xidian University Xi’an China Department of Electrical Engineering and Information Technology University of Naples Federico II Naples Italy

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

Adaptive target detection in the presence of Gaussian interference considering a frequency diverse array multipleinput multiple-output (FDA-MIMO) radar is investigated. At the design stage, adaptive detectors are devised according to the generalized likelihood ratio test (GLRT) criterion, where the target range is assumed unknown within the radar cell. Hence, the maximum likelihood (ML) estimate of the target range under the H 1 hypothesis is approximated either assuming a discrete grid or resorting to a Newton-based optimization procedure. Numerical results are provided to illustrate the effectiveness of the devised detectors.

关键词： Maximum likelihood estimation Radar detection Adaptive arrays Detectors Radar Computer architecture Receivers

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