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Asia Communications and Photonics Conference and Exhibition (ACP)

作者： Zhenyu Zhu Jinli Zhang Hao Sui Le Cheng Hongna Zhu Xiaorong Gao School of Physical Science and Technology Southwest Jiaotong University Chengdu China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu Sichuan China

An optimized method to determine the parameters of one-pump fiber optical parametric amplifier with pump depletion is illustrated by using genetic algorithm. The gain with wide bandwidth and high peak gain is obtained.

ISBN: (纸本)9781943580705

关键词： Genetic algorithms Nonlinear optical fibers Nonlinear parametric processes Numerical analysis Optical amplifiers Optical fibers

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New Framework for Code-Mapping-based Reversible Data Hiding in JPEG Images

arXiv

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arXiv 2020年

作者： Du, Yang Yin, Zhaoxia Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230601 China Anhui Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei230601 China School of Communication & Electronic Engineering East China Normal University Shanghai200241 China

Code mapping (CM) is an efficient technique for reversible data hiding (RDH) in JPEG images, which embeds data by constructing a mapping relationship between the used and unused codes in the JPEG bitstream. This study presents a new framework for designing a CM-based RDH method. First, a new code mapping strategy is proposed to suppress file size expansion and improve applicability. Based on our proposed strategy, the mapped codes are redefined by creating a new Huffman table rather than selecting them from the unused codes in the original Huffman table. The critical issue of designing the CM-based RDH method, that is, constructing code mapping, is converted into a combinatorial optimization problem. This study proposes a novel CM-based RDH method that utilizes a genetic algorithm (GA). The experimental results demonstrate that the proposed method achieves a high embedding capacity with no signal distortion while suppressing file size expansion. Copyright © 2020, The Authors. All rights reserved.

关键词： Mapping

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ISAR Imaging Based on Homotopy Re-Weighted ℓ1-Norm Minimization

ISAR Imaging Based on Homotopy Re-Weighted ℓ1-Norm Minimiza...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Yuexin Gao Xinyu Zhang Mengdao Xing Jixiang Fu Zijing Zhang Ying Wang National Laboratory of Radar Signal Processing Xidian University Xi‟an China School of Information Science and Engineering Lanzhou University Shaanxi Nonferrous Metals Holding Group Co. Ltd

A suitable regularization parameter plays an important role in sparse ISAR imaging algorithms. With a proper regularization parameter, the quality of ISAR images improves. In this paper, the Homotopy re-weighted ℓ1-norm minimization is applied to ISAR imaging. This method is able to choose the accurate regularization parameter for each point in ISAR image with high efficiency. As a result, the imaging results processed by this method contain more details of the target and less artificial points. Both simulated and real data experiments validate the feasibility of the proposed method.

关键词： Imaging Minimization radar imaging signal processing algorithms signal to noise ratio Image reconstruction Linear programming

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DOA estimation Of Underwater Wideband signals based on Improved OMP method

DOA estimation Of Underwater Wideband Signals based on Impro...

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OCEANS - Europe

作者： Zigao Li Shuqiu Li Jidong Jia Donghao Ju Key Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing Institute of Acoustics Chinese Academy of Sciences Beijing China

In previous work, we proposed an improved Orthogonal Matching Pursuit (OMP) based local refining strategy, which is named LROMP_DOA. It turns out that LROMP_DOA is an efficient method for narrowband signal, which has significant higher bearing resolution and accuracy, compare with the conventional OMP_DOA. In this paper, we propose a coherent subspace method for extension of the LROMP_DOA to wideband signals. In this method, spatial resampling wideband focusing method is applied for focusing wideband signal energy to the reference frequency, then the LROMP_DOA is applied to the combined narrowband signal. The results of simulation experiments and the sea trial confirm the performance superiority of the proposed algorithm, such as low computational complexity, and better performance in low SNR situation.

关键词： Wideband Estimation Narrowband Direction-of-arrival estimation Focusing Matching pursuit algorithms signal processing algorithms

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Dynamic Event-Triggered Fault Detection for Markov Jump Systems Under DoS Attacks: A Simulated Annealing Algorithm-Based Optimization Approach

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IEEE Transactions on Cybernetics 2025年

作者： Wang, Yi Cheng, Peng Wu, Di Zhang, Weidong Wu, Edmond Q. Shu, Feng Hainan University School of Information and Communication Engineering State Key Laboratory of Marine Resource Utilization in South China Sea Haikou570228 China Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Electrical Engineering and Automation Hefei230601 China Hainan University School of Electronic Science and Technology State Key Laboratory of Marine Resource Utilization in South China Sea Haikou570228 China Shanghai Jiao Tong University Department of Automation Shanghai200240 China PRISMA Lab Department of Engineering and Information Technology University of NaplesFederico II Naples80125 Italy Hainan University School of Information and Communication Engineering Haikou570228 China

This work addresses the design problem of the fault detection observer (FDO) based on dynamic event-triggered mechanism for Markov jump systems under denial-of-service (DoS) attacks. The concept of limited energy for attackers is employed to characterize the property of nonperiodic DoS attacks. A dynamic event-triggered mechanism is introduced to save the system’s communication resources. The H∞/H- index is incorporated to ensure that the designed FDO possesses both robustness against disturbances and sensitivity to faults. After obtaining a set of nonlinear inequalities using Lyapunov functional techniques, a simulated annealing algorithm is employed to assist in solving, ensuring not only the discovery of global optimization solutions but also obtaining satisfactory parameters for the dynamic event-triggered mechanism. Finally, the effectiveness of the designed FDO is illustrated by an example of a vertical take-off and landing vehicle dynamical system. © 2013 IEEE.

关键词： Simulated annealing

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System Design of GEO-LEO Bistaic SAR with High Resolution and Wide Swath 1

System Design of GEO-LEO Bistaic SAR with High Resolution an...

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1st IEEE International Conference on Mechatronics, Robotics and Automation, ICMRA 2018

作者： Zheng, Lv Shuhao, Liu Yuekun, Wang China Academy of Space Technology Beijing Institute of Spacecraft System Engineering Beijing China Xidian University National Laboratory of Radar Signal Processing Xian China

ISBN: (纸本)9781538652701

Bistatic synthetic aperture radar(SAR) consists of a GEO transmitter and a low-earth-orbit (LEO) receiver is capable of providing higher signal-to-noise ratio (SNR) and finer spatial resolution with less power consumption. Due to the complex geometry and huge big differences of the orbital characteristics, the system design of GEO-LEO BiSAR remains a challenge. In this paper, a novel system design method of azimuth multichannel GEO-LEO BiSAR is proposed. Firstly., the radar ambiguity is analyzed and the radar beam position is well designed for the high-resolution and wide-swath (HRWS) application. The channel joint digital beamforming technology is presented to solve the problem of determining the suitable pulse repetition frequency (PRF). Then., the key parameters., such as the signal bandwidth., the number of azimuth channels and the noise-equivalent sigma zero (NESZ)., are designed. Finally., simulation results verify that the performance of GEO-LEO BiSAR meets the requirement of HRWS application. © 2018 IEEE.

关键词： Synthetic aperture radar

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Using integer and fractional measure for processing and recognitions of small and distorted images in optical location and medicine

Using integer and fractional measure for processing and reco...

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IET International radar Conference 2018, IRC 2018

作者： Potapov, Alexander A. German, Vitaly A. Pakhomov, Andrey A. Grachev, Vladimir I. Zhang, Wei Feng, Tianhua V.A. Kotelnikov Institute of Radioengineering and Electronics Russian Academy of Sciences Moscow Russia JNU-IREE Joint Laboratory of Fractal Method and Signal Processing Department of Electronic Engineering College of Information Science and Technology JiNan University Guangzhou China

The present work develops the mathematical base of ill-posed inverse problems in optics, as well as a method of processing and reconstructing scenes from incomplete information of their Fourier spectra. This problem is a part of the general problem of the eliminating the influence atmospheric and optical distortion when finding and registering an object at large distances under bad atmospheric conditions. The designed programmed methods are also used to process medical images. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Inverse problems

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cmSalGAN: RGB-D salient object detection with cross-view generative adversarial networks

arXiv

引用

arXiv 2019年

作者： Jiang, Bo Zhou, Zitai Wang, Xiao Tang, Jin Key Laboratory of Intelligent Computing Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230601 China

Image salient object detection (SOD) is an active research topic in computer vision and multimedia area. Fusing complementary information of RGB and depth has been demonstrated to be effective for image salient object detection which is known as RGB-D salient object detection problem. The main challenge for RGB-D salient object detection is how to exploit the salient cues of both intra-modality (RGB, depth) and cross-modality simultaneously which is known as cross-modality detection problem. In this paper, we tackle this challenge by designing a novel cross-modality Saliency Generative Adversarial Network (cmSalGAN). cmSalGAN aims to learn an optimal view-invariant and consistent pixel-level representation for RGB and depth images via a novel adversarial learning framework, which thus incorporates both information of intra-view and correlation information of cross-view images simultaneously for RGB-D saliency detection problem. To further improve the detection results, the attention mechanism and edge detection module are also incorporated into cmSalGAN. The entire cmSalGAN can be trained in an end-to-end manner by using the standard deep neural network framework. Experimental results show that cmSalGAN achieves the new state-of-the-art RGB-D saliency detection performance on several benchmark datasets. Copyright © 2019, The Authors. All rights reserved.

关键词： Generative adversarial networks

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Spaceborne Bistatic InSAR Geolocation with Geostationary Transmitter

Spaceborne Bistatic InSAR Geolocation with Geostationary Tra...

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signal, Information and Data processing (ICSIDP), IEEE International Conference on

作者： Yuekun Wang Zheng Lu Feng Tian Zhiyong Suo Zhenfang Li Yu Zhu Nanjing Research Institute of Electronics Technology Nanjing China Beijing Institute of Spacecraft System Engineering Beijing China National Key Laboratory of Radar Signal Processing Xidian University Xi'an China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

The bistatic interferometric synthetic aperture radar (InSAR) system, with a geosynchronous earth orbit (GEO) illuminator and two low-earth-orbit (LEO) receivers, has the advantages of flexibility, lightweight receiving platform and low cost. However, its geometry of bistatic interferometry is complex, and its slant range equation is in the form of round-trip delay. The traditional three-dimensional (3D) positioning methods of InSAR with `one-transmitter and two-receivers' and repeat tracks are invalid. In order to solve this problem, firstly, we establish the bistatic InSAR target positioning equations. Secondly, according to the interferometric geometry, the conversion relationship between baseline vector and slant range vector is constructed. Then, we derive and present a closed-form solution of the bistatic InSAR target positioning in the form of geostationary GEO SAR orbit. Finally, the effectiveness of the proposed method is verified by simulation data.

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Ensemble Margin Based Semi-Supervised Random Forest for the Classification of Hyperspectral Image with Limited Training Data

Ensemble Margin Based Semi-Supervised Random Forest for the ...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Wei Feng Wenjiang Huang Gabriel Dauphin Junshi Xia Yinghui Quan Huichun Ye Yingying Dong Key laboratory of Digital Earth Science Chinese Academy of Sciences Beijing China Laboratory of Information Processing and Transmission University Paris XIII France Geoinformatics Unit RIKEN Center for Advanced Intelligence Project Tokyo Japan Key Laboratory for Radar Signal Processing Xidian University Shaanxi China

In this paper, we propose a novel ensemble margin based semi-supervised random forest (EMRF) algorithm for the classification of the hyperspectral image with limited training data. The proposed method tries to improve the effectiveness of the ensemble model via adaptively labeling the unlabeled instances with high classification probability then adding them into the training set. The classification probability of a training instance is reflected by the unsupervised margin value of this instance. The higher ensemble margin of an instance, the higher probability the instance being classified correctly and added into to the training set in the next iteration.

关键词： Training Radio frequency Hyperspectral imaging Training data

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