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5th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2023

作者： Wang, Bin Gao, Ning Wang, Feng The 38th Research Institute of China Electronics Technology Group Corporation Key Laboratory of Aperture Array and Space Application Key Laboratory of Intelligent Information Processing Anhui Hefei230088 China Hefei University of Technology School of Computer and Information Hefei230601 China

ISBN: (纸本)9798350357738

Specific emitter identification(SEI) plays an increasingly crucial and potential role in both military and civilian scenarios. It refers to a process to discriminate individual emitters from each other by analyzing extracted characteristics from given radio signals. In this paper, we present a novel radiation source identification method named CNNFormer based on a hybrid architecture of Convolutional Neural Network and Transformer, harnessing the strengths of both architectures to enhance feature extraction and sequence modeling. We demonstrate the effectiveness of our approach on simulation datasets, achieving state-of-the-art accuracy in emitter identification. We showcase outstanding performance of our method on simulation datasets, achieving 98.29% three-class identification accuracy the emitter dataset with three devices and 97.60% ten-class identification accuracy on an RF fingerprint dataset with ten XSPR transmitters. Furthermore, our model allows for insight into the key features contributing to identification. This work contributes to enhancing the security and reliability of wireless communication systems. © 2023 IEEE.

关键词： Convolutional neural networks

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A review of super-resolution methods for nonorthogonal analysis of highly correlated signals in noise

A review of super-resolution methods for nonorthogonal analy...

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International Conference on Vehicle and Mechanical Engineering and information Technology, VMEIT 2014

作者： Wei, Shuang Jiang, De Fu Fattouche, Michel Array and Information Processing Laboratory College of Computer and Information Hohai University Nanjing 210098 Jiangsu China Department of Electrical and Computer Engineering University of Calgary Calgary T2N 1N4 AB Canada

ISBN: (纸本)9783038350606

Highly correlated signals exist in many applications of different fields of physics and engineering. But existing techniques for signal estimation and detection are either too complex or do not perform adequately when the observations consist of highly correlated signals in noise. Thus, this paper presents a review of three important super-resolution methods to discuss their characteristics and limitation for extracting the highly correlated signals in noise. © (2014) Trans Tech Publications, Switzerland.

关键词： Optical resolving power

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Performance of Different Measurement Matrices of Compressed Sensing on Sparse Spatial Spectral Estimation

Performance of Different Measurement Matrices of Compressed ...

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IEEE International Conference on information and Automation

作者： Shuang Wei Chungui Tao Feng Wang Defu Jiang Array and Information Processing Laboratory College of Computer and Information Hohai University Nanjing Jiangsu Province China

ISBN: (纸本)9781509041039

A measurement matrix plays an important role in the compressed sensing theory for sparse spatial spectral estimation. However, the RIP theory cannot provide a best measurement matrix for all the applications. In general, different measurement matrices have different characteristics to suit for different applications. Thus, this paper mainly researches on six common measurement matrices. Different from the existing researches on the time/frequency domain, we focus on the spatial spectral estimation problem using different measurement matrices. Simulation results are presented to compare the performance of different matrices in the case of different measurement numbers, different sparse degrees and different SNRs, as well as the time cost of these matrices.

关键词： Measurement matrix Compressed sensing Spatial spectral estimation Direction-of-arrival (DOAs) estimation

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Specific Emitter Identification Based on ACGAN and STFT 7

Specific Emitter Identification Based on ACGAN and STFT

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7th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2024

作者： Wang, Bin Xie, Jun Wang, Feng The 38th Research Institute Of China Electronics Technology Group Corporation China Key Laboratory Of Aperture Array And Space Application China Key Laboratory Of Intelligent Information Processing Anhui Hefei230088 China School Of Computer And Information Hefei University Of Technology Hefei230601 China

ISBN: (纸本)9798350361445

Deep learning methodologies are gaining popularity for enhancing the efficiency of Specific Emitter Identification (SEI). Nevertheless, the lack of labeled datasets continues to pose a challenge in most non-cooperative scenarios for SEI. Addressing this challenge, a framework for SEI is proposed, leveraging Short-Time Fourier Transform (STFT) in conjunction with auxiliary classifier GAN(ACGAN). The Short-Time Fourier Transform of emitters is utilized as radio-frequency fingerprint for the emitters. The input latent layer is infused with label information to steer the training process of the Generative Adversarial Network. Through semi-supervised training, shared weight updates are implemented for the classification network. Experimental results demonstrate that our model can achieve superior or competitive performances in several datasets compared with the former models. © 2024 IEEE.

关键词： Deep learning

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Effects of thresholding on a small-scale matched filter array

Effects of thresholding on a small-scale matched filter arra...

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IEEE Workshop on Applications of Signal processing to Audio and Acoustics

作者： D.M. Grove Center of Advanced Information Processing Microphone Array Laboratory CORE Building Rutgers University Piscataway NJ USA

Impulse responses (IRs) from eight microphones were measured in a conference room for evaluation with matched filter array (MFA) processing. Since truncation of the filters can be applied to the MFA with little loss in signal-to-noise ratio (SNR), the effects of diffusion and specular reflections are studied. An amplitude threshold is applied to divide the IR's into specular reflections and diffusion. The results in terms of SNR and frequency response are shown. Specular reflections are required for MFA processing. For this array, using IR peaks above a 0.15 threshold gives 4.8 dB SNR, a 0.4 dB change, and a 2 dB change in frequency response. Diffusion is removed resulting in fewer stored coefficients, 77 peaks on average rather than all 1600 points.

关键词： Matched filters Microphone arrays Sensor arrays Signal to noise ratio Frequency response information processing Laboratories Speech recognition Acoustic reflection array signal processing

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An explicit track continuity algorithm based on the GM-PHD filter with adaptive birth intensity

An explicit track continuity algorithm based on the GM-PHD f...

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International Conference on Control, Automation and information Sciences (ICCAIS)

作者： Yiyue Gao Defu Jiang Yan Han Song Wang College of Energy and Electrical Engineering Hohai University Nanjing People's Republic of China Array and Information Processing Laboratory Hohai University Nanjing People's Republic of China

ISBN: (数字)9781728123110

ISBN: (纸本)9781728123127

Due to its low computational cost, the Gaussian mixture (GM) implementation of the probability hypothesis density (PHD) filter is a good candidate for multi-target tracking (MTT), especially in real-time processing applications. In this study, we propose an explicit track continuity algorithm based on the GM-PHD filter with unknown target birth intensity for online MTT. In this approach, the identity labels of Gaussian components are divided into three classes, and the labels of confirmed components are unchanged through the overall filtering process, this can provide explicit MTT. Based on the measurements not associated with the predicted components, the adaptive target birth intensity is obtained. The simulation results demonstrate that the proposed approach can achieve explicit MTT under the unknown target birth intensity scenes.

关键词： Target tracking Filtering algorithms information filters Pediatrics Clutter Time measurement

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Specific Emitter Identification Based on ACGAN and STFT

Specific Emitter Identification Based on ACGAN and STFT

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Advanced Algorithms and Control Engineering (ICAACE), International Conference on

作者： Bin Wang Jun Xie Feng Wang The 38th Research Institute of China Electronics Technology Group Corporation Key Laboratory of Aperture Array and Space Application Key Laboratory of Intelligent Information Processing Hefei Anhui China School of Computer and Information Hefei University of Technology Hefei China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

关键词： Training Radio frequency Deep learning Fourier transforms Control engineering Fingerprint recognition Generative adversarial networks

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Specific Emitter Identification based on CNN and Transformer

Specific Emitter Identification based on CNN and Transformer

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Science and Technology Innovation (IAECST), International Academic Exchange Conference on

作者： Bin Wang Ning Gao Feng Wang The 38th Research Institute of China Electronics Technology Group Corporation Key Laboratory of Aperture Array and Space Application Key Laboratory of Intelligent Information Processing Hefei Anhui China School of Computer and Information Hefei University of Technology Hefei China

关键词：

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A Real-Time Imaging processing Method Based on Modified RMA with Sub-Aperture Images Fusion for Spaceborne Spotlight SAR

A Real-Time Imaging Processing Method Based on Modified RMA ...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Fang Zhou Jun Yang Guangcai Sun Jiajia Zhang School of Computer and Information Hefei University of Technology Hefei China National Key Lab of Radar Signal Processing Xidian University Xi'an China Key Laboratory of Aperture Array and Space Application East China Research Institute of Electronic Engineering Hefei China

ISBN: (数字)9781728163741

ISBN: (纸本)9781728163758

The small satellite SAR has received increasing attention due to its flexibility and low cost. But limited by the data transmission technology, real-time transmission of a large amount of raw data generated by the spaceborne spotlight SAR can hardly be achieved. Meanwhile, the azimuth bandwidth of the spotlight mode is larger than the PRF, resulting in aliasing of the azimuth spectrum. Based on these, this paper proposes a real-time scheme for small satellite SAR with spotlight mode. The method can solve the problem of data transmission and eliminate spectrum overlap in Doppler domain by means of sub-aperture processing. The modified range migration algorithm (RMA) is used to perform range compression and range cell migration compensation (RCMC) on sub-aperture data. Then dechirp in the azimuth time domain is applied to obtain the low-resolution complex image focused in the range time-azimuth frequency domain. Finally, all theected onto a grid image with azimuth interval matching the azimuth full-resolution to complete image fusion.

关键词： Azimuth Spaceborne radar Real-time systems Synthetic aperture radar Doppler effect Imaging Bandwidth

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Joint Analysis of BICEP2/Keck array and Planck Data

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Physical Review Letters 2015年第10期114卷 101301-101301页

作者： P. A. R. Ade N. Aghanim Z. Ahmed R. W. Aikin K. D. Alexander M. Arnaud J. Aumont C. Baccigalupi A. J. Banday D. Barkats R. B. Barreiro J. G. Bartlett N. Bartolo E. Battaner K. Benabed A. Benoît A. Benoit-Lévy S. J. Benton J.-P. Bernard M. Bersanelli P. Bielewicz C. A. Bischoff J. J. Bock A. Bonaldi L. Bonavera J. R. Bond J. Borrill F. R. Bouchet F. Boulanger J. A. Brevik M. Bucher I. Buder E. Bullock C. Burigana R. C. Butler V. Buza E. Calabrese J.-F. Cardoso A. Catalano A. Challinor R.-R. Chary H. C. Chiang P. R. Christensen L. P. L. Colombo C. Combet J. Connors F. Couchot A. Coulais B. P. Crill A. Curto F. Cuttaia L. Danese R. D. Davies R. J. Davis P. de Bernardis A. de Rosa G. de Zotti J. Delabrouille J.-M. Delouis F.-X. Désert C. Dickinson J. M. Diego H. Dole S. Donzelli O. Doré M. Douspis C. D. Dowell L. Duband A. Ducout J. Dunkley X. Dupac C. Dvorkin G. Efstathiou F. Elsner T. A. Enßlin H. K. Eriksen E. Falgarone J. P. Filippini F. Finelli S. Fliescher O. Forni M. Frailis A. A. Fraisse E. Franceschi A. Frejsel S. Galeotta S. Galli K. Ganga T. Ghosh M. Giard E. Gjerløw S. R. Golwala J. González-Nuevo K. M. Górski S. Gratton A. Gregorio A. Gruppuso J. E. Gudmundsson M. Halpern F. K. Hansen D. Hanson D. L. Harrison M. Hasselfield G. Helou S. Henrot-Versillé D. Herranz S. R. Hildebrandt G. C. Hilton E. Hivon M. Hobson W. A. Holmes W. Hovest V. V. Hristov K. M. Huffenberger H. Hui G. Hurier K. D. Irwin A. H. Jaffe T. R. Jaffe J. Jewell W. C. Jones M. Juvela A. Karakci K. S. Karkare J. P. Kaufman B. G. Keating S. Kefeli E. Keihänen S. A. Kernasovskiy R. Keskitalo T. S. Kisner R. Kneissl J. Knoche L. Knox J. M. Kovac N. Krachmalnicoff M. Kunz C. L. Kuo H. Kurki-Suonio G. Lagache A. Lähteenmäki J.-M. Lamarre A. Lasenby M. Lattanzi C. R. Lawrence E. M. Leitch R. Leonardi F. Levrier A. Lewis M. Liguori P. B. Lilje M. Linden-Vørnle M. López-Caniego P. M. Lubin M. Lueker J. F. Macías-Pérez B. Maffei D. Maino N. Mandolesi A. Mangilli M. Maris P. G. Martin E. Martínez-González S. Masi P. Mason S. Matarrese K. G. Megerian School of Physics and Astronomy Cardiff University Queens Buildings The Parade Cardiff CF24 3AA United Kingdom Institut d’Astrophysique Spatiale CNRS (UMR8617) Université Paris-Sud 11 Bâtiment 121 Orsay France Department of Physics Stanford University Stanford California 94305 USA California Institute of Technology Pasadena California USA Harvard-Smithsonian Center for Astrophysics 60 Garden Street MS 42 Cambridge Massachusetts 02138 USA Laboratoire AIM IRFU/Service d’Astrophysique–CEA/DSM–CNRS–Université Paris Diderot Bâtiment 709 CEA-Saclay F-91191 Gif-sur-Yvette Cedex France SISSA Astrophysics Sector via Bonomea 265 34136 Trieste Italy Université de Toulouse UPS-OMP IRAP F-31028 Toulouse cedex 4 France CNRS IRAP 9 Avenue colonel Roche BP 44346 F-31028 Toulouse cedex 4 France Joint ALMA Observatory Vitacura Santiago Chile Instituto de Física de Cantabria (CSIC-Universidad de Cantabria) Avenida de los Castros s/n Santander Spain APC AstroParticule et Cosmologie Université Paris Diderot CNRS/IN2P3 CEA/lrfu Observatoire de Paris Sorbonne Paris Cité 10 rue Alice Domon et Léonie Duquet 75205 Paris Cedex 13 France Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Drive Pasadena California USA Dipartimento di Fisica e Astronomia G. Galilei Università degli Studi di Padova via Marzolo 8 35131 Padova Italy Istituto Nazionale di Fisica Nucleare Sezione di Padova via Marzolo 8 I-35131 Padova Italy University of Granada Departamento de Física Teórica y del Cosmos Facultad de Ciencias Granada Spain University of Granada Instituto Carlos I de Física Teórica y Computacional Granada Spain Institut d’Astrophysique de Paris CNRS (UMR7095) 98 bis Boulevard Arago F-75014 Paris France UPMC Université de Paris 06 UMR7095 98 bis Boulevard Arago F-75014 Paris France Institut Néel CNRS Université Joseph Fourier Grenoble I 25 rue des Martyrs Grenoble France Department of Physics and Astronomy University College London L

We report the results of a joint analysis of data from BICEP2/Keck array and Planck. BICEP2 and Keck array have observed the same approximately 400 deg2 patch of sky centered on RA 0 h, Dec. −57.5°. The combined maps reach a depth of 57 nK deg in Stokes Q and U in a band centered at 150 GHz. Planck has observed the full sky in polarization at seven frequencies from 30 to 353 GHz, but much less deeply in any given region (1.2 μK deg in Q and U at 143 GHz). We detect 150×353 cross-correlation in B modes at high significance. We fit the single- and cross-frequency power spectra at frequencies ≥150 GHz to a lensed-ΛCDM model that includes dust and a possible contribution from inflationary gravitational waves (as parametrized by the tensor-to-scalar ratio r), using a prior on the frequency spectral behavior of polarized dust emission from previous Planck analysis of other regions of the sky. We find strong evidence for dust and no statistically significant evidence for tensor modes. We probe various model variations and extensions, including adding a synchrotron component in combination with lower frequency data, and find that these make little difference to the r constraint. Finally, we present an alternative analysis which is similar to a map-based cleaning of the dust contribution, and show that this gives similar constraints. The final result is expressed as a likelihood curve for r, and yields an upper limit r0.05<0.12 at 95% confidence. Marginalizing over dust and r, lensing B modes are detected at 7.0σ significance.

关键词： STOKES equations FREQUENCIES of oscillating systems POWER spectra GRAVITATIONAL waves

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