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

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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...

引用

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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Target Reflectivity Characterization for FDA Radar

Target Reflectivity Characterization for FDA Radar

引用

sensor array and multichannel signal processing workshop

作者： Ronghua Gui Wen-Qin Wang Hing-Cheung So Can Cui University of Electronic Science and Technology of China Chengdu China City University of Hong Kong Hong Kong China Shanghai Electronic Mechanical Institute Shanghai China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

As an emerging array processing technique, frequency diverse array (FDA) differs from conventional phased-array in that it employs a frequency increment across the array elements. The use of frequency increment provides FDA with an array factor with joint range-angle dependency, which finds wide applications in joint range-angle target localization and range-dependent interference/clutter suppression. In the open literature, an ideal point-like target in far field is generally assumed for FDA signal modelling. However, the reflectivity characterization for more realistic targets, which are not ideally point-like and even extended in range and azimuth angle, has not been reported for FDA radar. In this paper, we establish an echo signal model of FDA radar for a general target, and then analyze the statistics of the echo signal amplitude. More specifically, we reveal the amplitude decorrelation property between different FDA elements due to the use of frequency increment, which provides useful insight into frequency increment design. The target reflectivity characteristic analysis is validated by numerical results.

关键词： Reflectivity Phased arrays Radar cross-sections array signal processing Radar Frequency diversity Radar signal processing

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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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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...

引用

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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Integrated waveform design for an Integrated Radar and Communication System with a Uniform Linear array

Integrated waveform design for an Integrated Radar and Commu...

引用

sensor array and multichannel signal processing workshop

作者： Mengchao Jiang Guisheng Liao Zhiwei Yang Yongjun Liu Yufeng Chen Haichuan Li National Laboratory of Radar Signal Processing Xidian University Xi’an China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

To reduce the consumption of spectrum and hardware resource, two methods are proposed to design the integrated waveform that can satisfy the requirements for both radar and communication. First, a linear superposition (LS) method is proposed to design the transmit waveforms of a uniform linear array (ULA). In the far field of the ULA, the designed transmit waveforms can simultaneously synthesize the desired radar and communication waveforms in different directions. However, the designed waveforms usually have high peak-to-average power ratio (PAPR). Then, an alternative projection (AP) method is proposed to reduce the PAPR of the transmit waveforms. The AP method can devise the waveforms with constant modulus. Both the proposed methods can perform radar and communication function in different directions. Finally, several simulation results are given to verify the effectiveness of the proposed methods.

关键词： Filtering Simulation Design methodology Conferences Radar Peak to average power ratio Radar signal processing

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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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Toeplitz Structured Covariance Matrix Estimation for Radar Applications

Toeplitz Structured Covariance Matrix Estimation for Radar A...

引用

sensor array and multichannel signal processing workshop

作者： Xiaolin Du Augusto Aubry Antonio De Maio Guolong Cui School of Information and Communication Engineering University of Electronic Science and Technology of China China DIETI Università degli Studi di Napoli "Federico II" Italy

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

Following a geometric paradigm, the estimation of a Toeplitz structured covariance matrix is considered. The estimator minimizes the distance from the Sample Covariance Matrix (SCM) while complying with some specific constraints modeling the covariance structure. The resulting constrained optimization problem is solved globally resorting to the Dykstra’ projection framework. Each step of the procedure involves the solution of two convex sub-problems, whose minimizers are available in closed form. Simulation results related to typical radar environments highlight the effectiveness of the devised method.

关键词： Simulation Estimation Interference Radar signal processing Radar applications Covariance matrices Projection algorithms

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Resilient Multitask Distributed Adaptation Over Networks With Noisy Exchanges

Resilient Multitask Distributed Adaptation Over Networks Wit...

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sensor array and multichannel signal processing workshop

作者： Chengcheng Wang Wee Peng Tay Ye Wei Yuan Wang School of Electrical and Electronic Engineering Nanyang Technological University Singapore School of Automation Engineering Northeast Electric Power University China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

We develop a resilient distributed strategy over multitask networks, where individual tasks are linearly related within each neighborhood, and information exchanges between neighboring agents are noisy. In the proposed strategy, each agent follows an adapt-then-project procedure to iteratively update its local estimate. In particular, weighted projection operators are utilized in the projection step in order to attenuate the negative effect of noisy exchanges on the cooperative inference performance. We motivate a strategy for computing the weights in a distributed and adaptive manner. Simulation results demonstrate that the proposed scheme shows good resilience against noise in the information exchange between agents.

关键词： array signal processing Simulation Conferences Noise measurement Task analysis Information exchange Resilience

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