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检索条件"机构=State Key Lab. of Multiphase Complex System"

共 141 条记录，以下是71-80 订阅

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Evaluation of Simulated SAR Images Created by Generative Models Based on Pixel-wise Similarity 6

Evaluation of Simulated SAR Images Created by Generative Mod...

引用

6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019

作者： Zhao, Yan Zhao, Lingjun Ji, Kefeng Kuang, Gangyao State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781728129129

In recent years, deep learning has become a research hotspot when processing Synthetic Aperture Radar(SAR) data. Due to high cost of SAR image acquisition, many generative models are proposed to simulate SAR images. However, it's still hard to assess which algorithm performs better. We conduct a multi-faced large-scale empirical study on generative models including Generative Adversarial Nets(GANs) and Encoder-Decoder based models for simulating SAR images and evaluate performance of these models using pixel-wise similarity. Results show that the difference is small in contour similarity for generated SAR images produced by various of networks, however, there exists sharp difference in terms of pixel correlation and Fréchet Inception Distance(FID). The Variant Autoencoder network has certain advantages in many indicators under limited training data. Pixel correlation is rather accurate taking into account multi-features of SAR images in low level dimension and provides meaningful guidance in evaluating quality of SAR images. © 2019 IEEE.

关键词： Generative adversarial networks

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A two-stage airport detection model on large scale SAR images based on faster R-CNN 11

A two-stage airport detection model on large scale SAR image...

引用

11th International Conference on Digital Image Processing, ICDIP 2019

作者： Li, Chuyin Zhao, Lingjun Kuang, Gangyao State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha410073 China

ISBN: (数字)9781510630765

ISBN: (纸本)9781510630758

In this paper, we proposed a novel two-stage model that works in a hierarchical architecture to detect airports on synthetic aperture radar (SAR) images. In the first rough stage, an improved line segment detector (LSD) which tackles the line segments disconnection problem in SAR images is used to extract candidate airport regions coarsely. In the second fine stage, a well-trained Faster R-CNN with residual networks (ResNet) implementation (called ResFaster RCNN) is applied to each candidate regions to discriminate airport and non-airport regions and locate the airport much more precisely. Transfer learning and some improvement measures are applied to the networks. With this two-stage model, we can not only use both low-level and high-level features of airports synthetically but also avoid the information loss problem caused by resizing when large scene images are input into the networks. Experiments on large-scale SAR images have proved that the proposed method can reach a detection rate of 95% with low false alarm rate and show a great enhancement over other existing methods. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Synthetic aperture radar

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An algorithm based on ABNL-MRF model for SAR image segmentation 2

An algorithm based on ABNL-MRF model for SAR image segmentat...

引用

2019 2nd International Conference on Advanced Algorithms and Control Engineering, ICAACE 2019

作者： Qingping, Wang Tao, Xie Boyuan, Liu Chang, Wang Naichang, Yuan State Key Lab. of Complex Electromagnetic Environ. Effects on Electronics and Information System National University of Defense Technology Changsha410073 China

In this letter, a segmentation method is proposed based on an adaptive Bayesian non-local MRF (ABNL-MRF) model. Aimed at the multiplicative speckle existing in SAR images, a patch-similarity measure based on a ratio of probability is introduced firstly. Then non-local similar pixel-blocks are adopted to guide the segmentation of the noisy image. However, non-local method over-smoothes edge regions and makes them inaccurate though it is robust for speckle. A rectification index is designed according to the homogeneity degree of local window. Based on the value of rectification index, a non-local constraint term is adaptively integrated into the potential function. Thus a suitable prior is defined that guarantees both the smoothness of the denoised image and the preservation of its structure. Experimental results demonstrate the very good performance of the proposed method. © Published under licence by IOP Publishing Ltd.

关键词： Speckle

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Polarization and Frequency Spectra Characteristics of Chaff Cloud Clutter Signals 5

Polarization and Frequency Spectra Characteristics of Chaff ...

引用

5th IEEE International Conference on Computational Electromagnetics, ICCEM 2019

作者： Zhou, Zhiyong Li, Jinliang Liang, Xiaoxin Xu, Xiong Han, Hui Dai, Huanyao Insittute of Microelectronics of Chinese Academy of Sciences Beijing China State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System Luoyang China

ISBN: (纸本)9781538671115

This Influence on the echoes of the chaff cloud by the translation and rotation of chaffs are studied according to the chaff spiral descent model. The characteristics of the frequency spectra and polarization of the chaff cloud are studied using the statistic method. Firstly, the spiral descent model of the chaff cloud is introduced, as well as the polarization scattering matrix of the rotation dipoles. Then, the self-correlation functions and cross-correlation functions of the elements of scattering matrix of the chaff cloud are analyzed, presenting the power spectra and cross power spectra of the elements of scattering matrix. Finally, the numerical results are given when the orientations of chaffs obey the uniform distribution and horizontal distribution. © 2019 IEEE.

关键词： Polarization

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Radar Signal Recognition Based on Squeeze-and-Excitation Networks

Radar Signal Recognition Based on Squeeze-and-Excitation Net...

引用

2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019

作者： Qu, Qizhe Wei, Shunjun Su, Hao Wang, Mou Shi, Jun Hao, Xiaojun State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System Luoyang471003 China University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9781728123455

Classification and recognition of radar signals is an important part of modern warfare. Traditional radar signal recognition method based on the pulse description word may be not suitable for the complex electromagnetic environment. In this paper, a novel radar signal recognition method based on Squeeze-and-Excitation networks is proposed. Firstly, time-domain, frequency-domain and time-frequency-domain features of five kinds of radar signals are transformed into images. Then the images are classified by convolutional neural networks and output the result of each domain. Finally, the results of the three domains are combined to obtain the correct identification results. And the recognition effects of three different modules are compared. The experiments prove the efficiency of our method, especially on different SNR condition and center frequency. And confusion matrixes demonstrate that under the low SNR condition, our method still has a good recognition effect and are better than traditional radar signal recognition method based on PDW. © 2019 IEEE.

关键词： Convolution

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FPGA-Based Large Constraint Length Convolution Code Encoder Verification 4

FPGA-Based Large Constraint Length Convolution Code Encoder ...

引用

2019 4th International Conference on Intelligent Computing and Signal Processing, ICSP 2019

作者： Taotao, Zhang Jingke, Zhang Zhiwen, Zhou Zhifei, Yang Wanhong, Liu China Luoyang Electronic Equipment Test Center China State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System China Command College of PAP China

The convolution code with large constraint length plays an irreplaceable role in deep space communication and ultra-low frequency communication. Therefore, it is very important to find and test convolution code with large constraint length. Convolutional codes are widely used in deep space communication systems because of their high coding gain and simple and reliable encoders. The performance and implementation difficulty of convolutional codes mainly depend on the constraint length of the decimal codes and the coding efficiency. Enlarging and improving the coding gain of convolutional codes will greatly increase the complexity of decoders. The method of mathematical derivation and verification by mathematical tools is not suitable for convolutional codes with large large constraint length.. In order to improve the efficiency of inspection, the method of parallel multi-core computing needs to be introduced into the evil code test. Tests show that the FPGA-based parallel inspection method can improve the test efficiency by geometric multiples. © Published under licence by IOP Publishing Ltd.

关键词： Convolutional codes

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Power allocation strategy for MIMO radar when coping with a smart jammer

Power allocation strategy for MIMO radar when coping with a ...

引用

2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019

作者： Wang, Lulu Peng, Jinlin Zhang, Bo Zhang, Yi Artificial Intelligence Research Center National Innovation Institute of Defense Technology Beijing China State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System Luoyang China

ISBN: (纸本)9781728123455

Anti-jamming performance is one of the challenging problems for MIMO radar. In this paper, the power allocation strategy for MIMO radar is considered in the presence of a smart jammer, who can quickly learn the transmission power of the MIMO radar and adaptively adjust its power allocation strategy to maximize the damaging effect. This problem is modelled as a Stackelberg game, where the MIMO radar is the leader and the jammer is the follower. Using minimum mean square error (MMSE) as the utility function, the optimal power allocation strategy for MIMO radar at the Stackelberg Equilibrium (SE) is obtained. Simulation results show the effectiveness of our method. © 2019 IEEE.

关键词： Mean square error

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A Doppler history modulated jamming against MIMO SAR

A Doppler history modulated jamming against MIMO SAR

引用

2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019

作者： Zhang, Yinbin Ai, Xiaofan Fan, Zhongliang Dai, Dahai 38th Research Institute of CETC Heifei China State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha China

ISBN: (纸本)9781728123455

As one of the emerging imaging sensors, multiple-input and multiple-output synthetic aperture radar (MIMO SAR) could provide more benefits for wide-swath imaging, ground moving target indication (GMTI) and three-dimensional imaging, thus making it a great threat for high value targets. To address this challenge, a Doppler history modulated jamming is proposed in this paper. By imposing an additional Doppler modulated phase on the signal of MIMO SAR which is received and stored in the digital radio frequency memory (DRFM), and then transmitting back to MIMO SAR, this jamming could effectively disturb the imaging of MIMO SAR, form jamming effect of both deception and suppression. Moreover, this jamming could counter GMTI processing of MIMO SAR. Experimental results demonstrate the effectiveness of the proposed algorithm. © 2019 IEEE.

关键词： Synthetic aperture radar

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Polarization Monopulse Forward-Looking Imaging Algorithm Based on BADS Optimization

Polarization Monopulse Forward-Looking Imaging Algorithm Bas...

引用

2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019

作者： Pang, Bo Zhou, Tao Dai, Dahai Wu, Hao Xing, Shiqi Wang, Xuesong State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha China College of Electronic Science National University of Defense Technology Changsha China

ISBN: (纸本)9781728123455

In this paper, a novel polarization monopulse forward-looking imaging algorithm is proposed, the core idea is solving the maximum likelihood estimation (MLE) problem by bayesian adaptive direct search (BADS) optimization. The simulation results show that unresolved targets can be resolved and relocated accurately in the real beam imaging result and the imaging performance is greatly improved. The comparison with gradient descent also validates its superiority in terms of accuracy and robustness of direction of arrival (DOA) and polarization parameters estimation. Meanwhile, the proposed algorithm can accurately identify three targets within a beam, including a dihedral and two trihedral targets. © 2019 IEEE.

关键词： Polarization

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A New Method of Specific Emitter Identification

A New Method of Specific Emitter Identification

引用

2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019

作者： Sun, Liting Zhang, Wanlong Wang, Xiang Li, Kaihong Guo, Yiwei Yang, Jiarun State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha China Unit 78100 of PLA Chengdu Sichuan China Unit 91605 of PLA Xiamen Fujian China Unit 32045 of PLA Xiamen Fujian China

ISBN: (纸本)9781728123455

Specific Emitter Identification (SEI) techniques have been widely used as a tool of spectrum management operation to enhance the security by matching the received signal with the specific emitter. However, there are few methods focusing on the unintentional modulation (UIM) of signals. In this letter, we propose a novel method which extracts the UIM part in the frequency spectrum and instantaneous phase from the original signals as UIM radio frequency fingerprinting, and then use the non-Gaussian measuring tools to extract the dimension-reduced secondary features. The real-world signals are used to evaluate the performance of the proposed method and the Support Vector Machine (SVM) classifier and the Gaussian Mixture Model (GMM) classifier are applied to make the classification. Experiment results verified that the proposed method has remarkable performance and less computational complexity, which is relatively practical. © 2019 IEEE.

关键词： Support vector machines

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