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Computationally Efficient Waveform Design in Spectrally Dense Environment

Computationally Efficient Waveform Design in Spectrally Dens...

引用

sensor array and multichannel signal processing workshop

作者： Markus Yli-Niemi Sergiy A. Vorobyov Dept. Signal Processing and Acoustics Aalto University Aalto Finland

the problem of unimodular radar waveform design with similarity constraint in spectrally dense environment is considered. the corresponding optimization problem is nonconvex and additionally large-scale. Indeed, the waveform length can be of several thousands and the waveform has to be designed in every coherent processing interval. Since the problem is nonconvex, the majorization-minimization (MaMi) method is used for addressing it, and since it is large-scale, the alternating direction method of multipliers (ADMM) is adopted. thus, we develop a computationally efficient approach for solving the problem by using MaMi with proper design of majorization function together with alternating ADMM with newly proposed computationally efficient proximal projections. We evaluate the computational cost of the proposed algorithm and show its fast convergence unmatched by existing approaches in terms of simulations.

关键词： Radar signal processing algorithms Optimization array signal processing sensor arrays Conferences

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A Novel Interference Suppression Method in Wireless Relay Networks

A Novel Interference Suppression Method in Wireless Relay Ne...

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sensor array and multichannel signal processing workshop

作者： Hongyang Chen Jianming Wu Fujitsu Laboratories Ltd Japan

An interference suppression method for future wireless relay networks is proposed. It utilizes multi-antenna relay node (RN) to suppress the interference from the user equipment (UE) (e.g. macrocell UE (mUE)) that does not belong to the RN. the proposed scheme is based on aligning the interference into the null space of the receive weight matrix. the proposed method does not require RN to decode the symbols sent from the relay UE (rUE). In addition, the channel state information (CSI) of the channel between the mUE and the relay is not needed at the relay. Simulation results show that the proposed method achieves good performance.

关键词： Interference signal to noise ratio Relay networks (telecommunications) Channel estimation Device-to-device communication array signal processing

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Compressed sensing of Gauss-Markov random field with wireless sensor networks

Compressed sensing of Gauss-Markov random field with wireles...

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sensor array and multichannel signal processing workshop

作者： Anand Oka Lutz Lampe Department of Electrical and Computer Engineering University of British Columbia Canada

We propose a scalable and energy efficient method for reconstructing a dasiasparsepsila 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： sensors Wireless sensor networks Data mining AWGN Minimization Rate-distortion Encoding

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An Alternating Minimization Approach to Optimizing Subarray Configuration for a Large Phased array

An Alternating Minimization Approach to Optimizing Subarray ...

引用

sensor array and multichannel signal processing workshop

作者： Wenqiang Pu Yang Yu Shuhua Yu Zhi-Quan Luo Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen China The China Electrorrics Technology Group Corporation China

A large size phased array is a powerful system for surveillance, but must be appropriately decomposed as subarrays for efficient digital beamforming. One fundamental question is how to configure a large array as subarrays to satisfy various signal processing requirements. this work deals with two basic signal processing tasks, synthesizing multiple beams at subarray level and adaptively suppressing multiple interferences. Two optimization criteria to jointly design subarray configuration and digital weights for subarrays are proposed. To handle the large number of variables in the optimization formulations, we propose an alternating minimization approach with low computation cost. Numerical simulations are presented to demonstrate the effectiveness of the proposed algorithm.

关键词： array signal processing Phased arrays Minimization Pattern matching Task analysis sensor arrays

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Time division multiple access methods in bi-directional cooperative relay networks

Time division multiple access methods in bi-directional coop...

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sensor array and multichannel signal processing workshop

作者： Adrian Schad Marius Pesavento Communication Systems Group Technische Universität Darmstadt Darmstadt Germany

In this paper, we develop a new class of time division multiple access schemes for bi-directional multiuser communications in cooperative amplify-and-forward relay networks. the proposed schemes enable a flexible trade-off between spectral efficiency and suppression of multiuser interference. the relay weights are chosen to maximize the minimum received quality-of-service of all the users under constraints on the individual and the total power at the relays. Simulation results demonstrate that the selection of the scheme has a considerable impact on the achieved throughput of the relay network.

关键词： Relays Vectors Interference array signal processing signal to noise ratio Resource management Time division multiple access

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Wideband DOA estimation for nonuniform linear arrays with Wiener array interpolation

Wideband DOA estimation for nonuniform linear arrays with Wi...

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sensor array and multichannel signal processing workshop

作者： T. Kaya Yasar T. Engin Tuncer Electrical and Electronics Engineering Department M.E.T.U. Ankara Turkey

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 processing.

关键词： Interpolation Wideband Direction of arrival estimation Covariance matrix signal to noise ratio array signal processing Estimation

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NEW SUBSPACE UPDATING ALGORIthM FOR ADAPTIVE DIRECTION ESTIMATION AND TRACKING AND ITS STATISTICAL ANALYSIS

NEW SUBSPACE UPDATING ALGORITHM FOR ADAPTIVE DIRECTION ESTIM...

引用

2008 ieee sensor array and multichannel signal processing workshop

作者： Jingmin Xin Nanning Zheng Akira Sano Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University China Keio University Yokohama Japan

Subspace estimation is of importance to high-resolution direction estimation in array processing. In this paper, a new recursive least-squares (RLS) algorithm is proposed for null space estimation, which is used to estimate or track the directions of coherent and/or incoherent signals impinging on a uniform linear array (ULA). Especially by investigating the expectation computation of an inverse matrix, the statistical analysis of the RLS algorithm is studied in the mean and mean-squares senses in stationary environment, and further the mean-square-error (MSE) and mean-square derivation (MSD) learning curves are derived explicitly. the theoretical analyses and effectiveness of the proposed RLS algorithm are substantiated through numerical examples.

关键词： Estimation arrays Least squares approximation Algorithm design and analysis Statistical analysis signal processing sensors

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Constant Envelope Transceivers in Millimetre-Wave Massive MIMO: EVM and Link Budget Considerations

Constant Envelope Transceivers in Millimetre-Wave Massive MI...

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sensor array and multichannel signal processing workshop

作者： Edward A. Ball Athanasios Vasileiadis Communications Research Group University of Sheffield Sheffield United Kingdom

RF 30 GHz ray-tracing simulation results are presented from a conceptual Massive-Multiple Input Multiple Output (M-MIMO) propagation model in an urban canyon. the usage of Constant Envelope (CE) RF signals is evaluated in both propagation ray-rich and ray-sparse scenarios. Multiple mobile terminals are simulated each employing single carrier Phase Shift Keying (PSK). It is found that once an operational link budget is achieved CE transmitters have negligible effect on a received Error Vector Magnitude (EVM). Finally it is found that the EVM is a function of both richness of propagation rays as well as the relative proximities of mobile users. A worst-case EVM of circa 25% is observed when terminals are separated by 1m reducing to circa 5% when terminals are separated by more than 4m.

关键词： array signal processing sensor arrays Conferences Hafnium

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Ultrasonic array imaging for immersion non-destructive testing

Ultrasonic array imaging for immersion non-destructive testi...

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sensor array and multichannel signal processing workshop

作者： Nasim Moallemi Shahram Shahbazpanahi Faculty of Engineering and Applied Science University of Ontario Institute of Technology Oshawa ON Canada

One of the applications of advanced array signal processing is immersion ultrasonic non-destructive testing (NDT), where a solid test sample and an array of transducers are immersed in water, for the purpose of imaging the test sample. To do so, the knowledge of the shape of the upper surface of the test sample is needed. We model the interface between water and the solid as an incoherently spatially distributed reflector. We then develop a covariance fitting based approach to estimate the parameters of the shape of the upper surface of the test sample. With the knowledge of the estimated shape of this surface, we use the same approach to estimate the parameters of the shape of a crack inside the test sample. Numerical simulations are conducted to show the accuracy of the proposed approach.

关键词： Shape Surface cracks arrays Solids Transducers Acoustics

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Resolution enhancement by HOS for small planar arrays

Resolution enhancement by HOS for small planar arrays

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sensor array and multichannel signal processing workshop

作者： Ulrich R.O. Nickel FGAN-FKIE Dept Sensor Data and Information Fusion Wachtberg Germany

Higher Order Statistics (HOS) have been proposed to achieve improvements over second order statistics array processing for various applications. We investigate the potential for angle estimation and source resolution with a very small planar array with 3 elements. We use the MUSIC method as generic DOA estimator. Using standard array theory we evaluate conditions under which an improvement in resolution can be obtained. A critical feature is the higher sensitivity of HOS methods to sources of unequal power. In this case standard MUSIC can perform better. A parallel complementary use of both methods is therefore recommended.

关键词： arrays Music Planar arrays Estimation Finite element methods Eigenvalues and eigenfunctions Apertures

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