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Sparse antenna array design for directional modulation

Sparse antenna array design for directional modulation

引用

sensor array and multichannel signal processing workshop

作者： Bo Zhang Wei Liu Xiaoming Gou Department of Electronic and Electrical Engineering University of Sheffield Sheffield United Kingdom School of Information and Electronics Beijing Institute of Technology Beijing China

ISBN: (纸本)9781509021048

Directional modulation (DM) can be achieved based on uniform linear arrays (ULAs), where the maximum half wavelength spacing is needed to avoid spatial aliasing. To exploit the degrees of freedom (DOFs) in the spatial domain, sparse arrays can be employed for more effective DM design. In this paper, the problem of antenna location optimisation for sparse arrays in the context of DM is addressed for the first time, where compressive sensing based formulations are proposed employing the group sparsity concept. Design examples are provided to verify the effectiveness of the proposed designs.

关键词： Directive antennas Modulation array signal processing Phased arrays Design methodology

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Empirical signal decomposition for acoustic noise detection

Empirical signal decomposition for acoustic noise detection

引用

sensor array and multichannel signal processing workshop

作者： L. Zão R. Coelho Laboratory of Acoustic Signal Processing (LASP) Military Institute of Engineering (IME) Rio de Janeiro Brazil

This paper introduces an adaptive noise detection method for non-stationary acoustic noisy signals. The proposed approach is based on the empirical mode decomposition (EMD) and a vector of Hurst exponent coefficients. The scheme is investigated considering real acoustic noisy signals with different non-stationarity degree and signal-to-noise ratio (SNR). The results demonstrate that the EMD-based noise detector enables a better separation between the clean and noisy signals when compared to the competing methods. It also leads to an average SNR improvement of 4.4 dB for the resulting enhanced signals.

关键词： Speech Noise measurement signal to noise ratio Acoustic noise Automobiles Indexes

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An iterative approach to nonconvex QCQP with applications in signal processing

An iterative approach to nonconvex QCQP with applications in...

引用

sensor array and multichannel signal processing workshop

作者： Ahmad Gharanjik Bhavani Shankar Mojtaba Soltanalian Björn Oftersten Signal Processing Department KTH Royal Institute of Technology SnT Centre University of Luxembourg Department of Electrical and Computer Engineering University of Illinois at Chicago

This paper introduces a new iterative approach to solve or to approximate the solutions of the nonconvex quadratically constrained quadratic programs (QCQP). First, this constrained problem is transformed to an unconstrained problem using a specialized penalty-based method. A tight upper-bound for the alternative unconstrained objective is introduced. Then an efficient minimization approach to the alternative unconstrained objective is proposed and further studied. The proposed approach involves power iterations and minimization of a convex scalar function in each iteration, which are computationally fast. The important design problem of multigroup multicast beamforming is formulated as a nonconvex QCQP and solved using the proposed method.

关键词： Optimization array signal processing Eigenvalues and eigenfunctions Matrix decomposition signal to noise ratio Interference

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Reduced-rank filtering on L1-norm subspaces

Reduced-rank filtering on L1-norm subspaces

引用

sensor array and multichannel signal processing workshop

作者： Panos P. Markopoulos Department of Electrical and Mircoelectronic Engineering Rochester Institute of Technology Rochester NY

ISBN: (纸本)9781509021048

Recent studies in signal processing have unveiled the remarkable outlier-resistance properties of L1-norm subspaces, calculated by means of L1-norm principal component analysis (L1-PCA). In this work, we present for the first time reduced-rank interference-suppressive filtering on L1-norm subspaces of the received signal vectors. Our simulation studies illustrate that the proposed filtering framework allows for successful suppression of coherent interference while, at the same time, it offers sturdy protection against outliers that appear among the training samples.

关键词： Receivers Training Principal component analysis Complexity theory Approximation algorithms Training data signal processing algorithms

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array of sensors: A spatiotemporal-state-space model for target trajectory tracking

Array of sensors: A spatiotemporal-state-space model for tar...

引用

sensor array and multichannel signal processing workshop

作者： A. Manikas V. Sridhar Y. I. Kamil Central Research Institute of Electric Power Industry (CRIEPI) Yokosuka-shi Kanagawa-ken Japan Microwave Systems and Nanotechnology Department CTTC Castelldefels Spain

ISBN: (纸本)9781509021048

In this paper, with the objective of tracking the trajectory of multiple mobile targets, a novel spatiotemporal-state-space model is introduced for an array of sensors distributed in space. Under the wideband assumption, the proposed model incorporates the array geometry in conjunction with crucial target parameters namely (i) ranges, (ii) directions, (iii) velocities and (iv) associated Doppler effects. Computer simulation studies show some representative examples where the proposed model is utilised to track the locations of sources in space with a very high accuracy.

关键词： sensor arrays Radar tracking Spatiotemporal phenomena Target tracking Manifolds Computational modeling

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On the robustness of the set-membership NLMS algorithm

On the robustness of the set-membership NLMS algorithm

引用

sensor array and multichannel signal processing workshop

作者： Hamed Yazdanpanah Markus V. S. Lima Paulo S. R. Diniz COPPE & DEE-DEL-Poli/UFRJ Universidade Federal do Rio de Janeiro Rio de Janeiro RJ Brazil

ISBN: (纸本)9781509021048

In this paper, we derive two robustness properties for the set-membership normalized least-mean-square (SM-NLMS) algorithm. The first property provides local bounds for the error/discrepancy in the coefficient vector at a given iteration, whereas the second property expands the previous one for any given iteration. As a result, this paper demonstrates for the first time that the SM-NLMS algorithm is robust (1 2 -stable), no matter how the algorithm parameters are set.

关键词： Robustness signal processing algorithms Algorithm design and analysis Indexes Estimation error Standards Uncertainty

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Synthetic aperture imaging with thinned linear sensor arrays for medical ultrasound

Synthetic aperture imaging with thinned linear sensor arrays...

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sensor array and multichannel signal processing workshop

作者： Juan Ramirez Nick Bottenus Gregg Trahey Jeffrey L. Krolik Department of Electrical and Computer Engineering Department of Biomedical Engineering Duke University Durham NC

ISBN: (纸本)9781509021048

In this paper, we exploit motion for improving the ultrasound (US) imaging performance of thinned sensor array systems. Thinned arrays provide reduced system cost and allows for the reduction of bulky channel cables. However, thinned array systems suffer from poor array processing performance from the lack of channels available to the system when compared to a Uniform Linear array (ULA). To overcome these deficiencies we propose to use motion to augment the transmit/receive events such that a general thinned array can be made to perform statistically equivalently to a ULA. The key feature of this work is that the statistical equivalence does not depend on realizing all missing sensors, instead the equivalence is at the level of the sum co-array. We show simulation results that demonstrate the system equivalence of thinned arrays with about one-third of the active sensors compared to a ULA of equal aperture.

关键词： sensor arrays Apertures Imaging Ultrasonic imaging Geometry Interconnected systems

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Plant-wide fault detection using graph signal processing

Plant-wide fault detection using graph signal processing

引用

sensor array and multichannel signal processing workshop

作者： Diego R. C. Silva Antonio Ortega ECT UFRN Campus Universitário Natal Brazil Department of Electrical Engineering University of Southern California Los Angeles CA

ISBN: (纸本)9781509021048

This paper introduces a graph signal processing (GSP) framework for industrial process monitoring. Through a graph built to represent the variables of an industrial plant and their relationships, we show how to transform each sample vector observation using the graph Fourier transform (GFT) in order to infer the status of the plant. To validate the proposed method we compare it to the state of the art PCA T 2 and Q methods for the Tennessee Eastman Process (TEP), a widely used benchmark for validation of methods in control and process monitoring. The results show our method outperforms PCA in most cases.

关键词： Monitoring Steady-state Training signal processing Industrial plants Principal component analysis Fourier transforms

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Spatial spectral estimation using a coprime sensor array with the min processor

Spatial spectral estimation using a coprime sensor array wit...

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sensor array and multichannel signal processing workshop

作者： Yang Liu John R. Buck Electrical and Computer Engineering Department University of Massachusetts Dartmouth Dartmouth MA United States

ISBN: (纸本)9781509021048

A coprime sensor array (CSA) estimates the spatial power spectral density (PSD) of the observed signal by multiplying one conventionally beamformed subarray scanned response with the complex conjugate of the other. This product processor removes the CSA subarray spatial aliasing ambiguities, but has a peak sidelobe higher than the peak sidelobe of a fully populated uniform linear array (ULA). Moreover, the resulting PSD estimate is not necessarily positive semi-definite. This paper proposes choosing the minimum of the two CSA subarray scanned responses at each bearing to resolve the spatial aliasing ambiguities. The min processor achieves lower peak sidelobe height and total sidelobe area than the product processor and preserves the positive semi-definite property of the PSD. This paper presents closed form expressions for the first two moments of the CSA min PSD estimator. Simulation results show the min processor achieves a lower PSD estimate variance than the product processor while maintaining the same array resolution.

关键词： array signal processing Apertures Geometry sensor arrays signal to noise ratio Gratings Estimation

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Improving the scan statistic to design sensor detection systems

Improving the scan statistic to design sensor detection syst...

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sensor array and multichannel signal processing workshop

作者： Benedito J. B. Fonseca Northern Illinois University DeKalb IL U.S.A.

ISBN: (纸本)9781509021048

When designing a sensor system to detect a target emitter in a large region of interest, it is desirable to use a fusion rule that avoids fusing strong measurements from sensors close to the emitter with weak measurements from sensors far from the emitter. To satisfy this criterion, the system designer may use a fusion rule based on the scan statistic. While this rule offers improved detection performance over other rules, this paper shows that its performance suffers when the scanning process encounters a varying number of sensors. In order to mitigate this degradation, it is proposed here that the fusion rule be based on a normalized scan statistic.

关键词： Degradation sensor systems Noise measurement Probability Electronic mail Indexes Detectors

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