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Radar Signal Detection Based on Ambiguity Function and Deep Learning 2

Radar Signal Detection Based on Ambiguity Function and Deep ...

引用

2nd International Conference on Computer Engineering and Application, ICCEA 2021

作者： Lv, Fengrong Dong, Zeyu Wan, Tao Jiang, Kaili Fang, Xueli Zhang, Lei University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China Key Laboratory of Complex Aviation Simulation System Beijing China

ISBN: (纸本)9781665426169

The ambiguity function describes the joint characteristics of the signal in the time domain and the frequency domain, and is usually used for signal recognition. The time domain and frequency domain distribution of noise is more spurious than the signal. Its ambiguity function can also reflect its characteristics. However, the direct use of the ambiguity function as the signal feature will increase the amount of calculation of the detection system, so slice it, which reduces the burden on the system for detecting signal information while preserving the information. At the same time, the radar signal detection based on neural network can avoid the influence of artificially setting the threshold on the detection performance of the system. So, we propose an algorithm for inputting the extracted fuzzy function slice sequence into a neural network to realize signal detection. simulation proves that when the signal-To-noise ratio of the received signal is very low, our proposed method still has a high detection probability. © 2021 IEEE.

关键词： Signal detection

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Semi-supervised Open-set Recognition of Radar Active Jamming

Semi-supervised Open-set Recognition of Radar Active Jamming

引用

2021 CIE International Conference on Radar, Radar 2021

作者： Li, Hao Fang, Xueli Zhang, Lei Kang, Hui Zhang, Wei School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Key Laboratory of Complex Aviation Simulation System Beijing China

ISBN: (纸本)9781665498142

With the emergence of various kinds of complex radar jamming, radar jamming intelligent recognition technology has increasingly become the key to electronic counter-counter measures. To achieve radar jamming open-set recognition with a small number of tagged samples, Generative adversarial network-based pseudolabeled convolutional neural network (GAN-PL-CNN) model is proposed in this paper. Firstly, radar jamming is modelled, and the radar jamming datasets with known and unknown types are established after time-frequency transformation and image processing. Then, the adaptive pseudolabeling method is used to achieve semi-supervised recognition of radar jamming by combining the learning capability of convolutional neural networks and the characteristics of pseudolabeling to increase labeled samples intelligently. Finally, generative adversarial networks are introduced to enhance the recognition ability of the model and the discrimination ability of the unknown type through the game between the generator and the discriminator in the iterative process. Experimental results show that the GAN-PL-CNN model achieves 89.7%-95.1% for known types and 30.7%-86.8% for unknown types at 3%-6% labeling rate. As the number of labeled samples increases, the recognition effect becomes better and has a greater ability to exclude unknown type. © 2021 IEEE.

关键词： convolutional neural network open-set recognition pseudo-label Radar active jamming

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Radar Signal Modulation Recognition Based on Bispectrum Features and Deep learning 2

Radar Signal Modulation Recognition Based on Bispectrum Feat...

引用

2nd International Conference on Computer Engineering and Application, ICCEA 2021

作者： Dong, Zeyu Lv, Fengrong Wan, Tao Jiang, Kaili Fang, Xueli Zhang, Lei University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China Key Laboratory of Complex Aviation Simulation System Beijing China

ISBN: (纸本)9781665426169

Signal bispectral transformation can not only suppress the influence of Gaussian white noise on signal modulation recognition, but also retain the signal amplitude and phase information. It is also used to extract the non-linear characteristics. Compared with other high-order spectra, bispectrum has a simple processing flow. However, the direct use of all bispectrum as signal features will lead to two-dimensional template matching, causing lots of calculations. Converting two-dimensional bispectrum into one-dimensional sequence, for example, extracting slice information of bispectrum, or using integral bispectrum apparently reduce the amount of data to be processed while retaining part of the bispectrum information. We input the extracted bispectral transformation of radar signals into the neural network to realize modulation recognition. The simulations validate our conclusions that our proposed methods still have a high recognition probability while SNR is low. © 2021 IEEE.

关键词： Template matching

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WebGL-based Network Multi-view Visualization Interactive Analysis Method 4

WebGL-based Network Multi-view Visualization Interactive Ana...

引用

4th International Conference on Computer Information science and Artificial Intelligence, CISAI 2021

作者： Yu, Ronghuan An, Shenhao Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

ISBN: (纸本)9781665406925

The space-ground integrated network is one of the important information infrastructures of the country in the future. In order to display its network structure in all directions and from multiple angles, a multi-view visualization interactive analysis method is proposed. First introduces the relevant basic technology, and then constructs the network dynamic model, which is mainly divided into three parts: link visibility analysis, relative motion analysis and visualization model construction. Finally, the digital earth technology is based on a unified coordinate system and data source. Establish a multi-dimensional view on it and provide a variety of interactive operations. Experimental results show that this method can more comprehensively show the structure of the space-ground integrated network, and help users understand its evolutionary law. © 2021 IEEE.

关键词： complex networks

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Status and analysis of process mining algorithm classification 5

Status and analysis of process mining algorithm classificati...

引用

5th IEEE Information technology, Networking, Electronic and Automation Control Conference, ITNEC 2021

作者： Lin, Wenxiang Liu, Desheng Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

ISBN: (纸本)9781665415989

In view of the rapid development of process mining, the rapid update of related algorithms, and the urgent need to sort out a reasonable classification method, the research on the current status of process mining algorithm classification is carried out. First, conduct statistical visualization analysis of process mining algorithms from different data sources, then analyze and summarize the specific algorithm classification literature at home and abroad in chronological order, and discuss its classification methods and advantages and disadvantages. From the research results, there are four main classification methods of algorithms, among which, based on the characteristics of the algorithm, it has the advantages of small crossover and obvious algorithm characteristics. © 2021 IEEE.

关键词： Visualization

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Research on Integration Framework and Service Adaptation technology of Space system simulation Test-bed

Research on Integration Framework and Service Adaptation Tec...

引用

2021 International Conference on Advanced Materials and Mechatronics, ICAMM 2021

作者： Liu, Desheng Chang, Qing Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

Aiming at the requirements of space system simulation test-bed in heterogeneous integration and co-simulation, the support capability of test-bed integration framework is analysed. A space system simulation test-bed integration framework based on bridging adaptation service is constructed, and adaptation services such as protocol adaptation, information publication, information subscription and service control for service oriented architecture are designed and implemented, which provide integration capability and co-simulation management capability for heterogeneous systems, models and components of space system simulation test-bed. © Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.

关键词： Information services

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Analysis on the complex Characteristics of the Space-ground Integrated Network Structure 2

Analysis on the Complex Characteristics of the Space-ground ...

引用

2nd International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2021

作者： An, Shenhao Yu, Ronghuan Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781665412964

The space-ground integrated network is one of the important information infrastructures of the country in the future. In order to further promote its visualization research, the structural characteristics of the space-ground integrated network are analyzed from the perspective of network complexity. Firstly, it introduces the development status of the space-ground integrated network, and then describes its overall structure and composition, focusing on the analysis of the complex characteristics of the space-ground integrated network structure from four aspects: heterogeneity, multi-layeredness, dynamics and distribution. Finally, Prospects for the next research direction. © 2021 IEEE.

关键词： complex networks

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Collaborative Filtering Recommendation Algorithm of Weaponry Based on Knowledge Graph 2

Collaborative Filtering Recommendation Algorithm of Weaponry...

引用

2nd IEEE International Conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2021

作者： Li, Xiao Liu, Desheng Chang, Qing Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

ISBN: (纸本)9781665428767

Nowadays, modern warfare has changed from weapon-centric operations to network-centric system operations, which has led to the phenomenon of sea-level quantification of weaponry. It is an important research topic for combat commanders to select suitable weaponry from a large number of available resources when facing combat tasks. Recommendation technology is a solution to this problem, which can effectively solve the problem of information overload, so that combat commanders do not produce the phenomenon of 'information loss', in the shortest possible time to make the right decision. Therefore, this paper proposes a collaborative filtering recommendation algorithm for weaponry based on the knowledge graph and the idea of collaborative filtering. In this algorithm, the knowledge graph provides a clear data model with various association relationships, and the collaborative filtering algorithm can realize it without relying on professional experience, which can realize the recommendation process more actively, faster and more intelligently. © 2021 IEEE.

关键词： Collaborative filtering

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Construction and Application of Knowledge Graph of Weapon and Equipment system of systems

Construction and Application of Knowledge Graph of Weapon an...

引用

2021 International Conference on Electronic Information Engineering and Computer science, EIECS 2021

作者： Li, Xiao Liu, Desheng Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

ISBN: (纸本)9781665416740

In the context of diversified types of weapon and equipment and massive data quantification, how to model and store, manage and apply the data of various types of weapon and equipment is a problem that needs to be solved. The article analyzes the characteristics of the weapon and equipment system and proposes a method to construct the knowledge graph of the weapon and equipment system based on this method, which first constructs the ontology in the top-down order, then defines the edge nodes and fills in the structured data. Finally, the application is carried out according to the constructed knowledge graph, and the future development direction is proposed. © 2021 IEEE.

关键词： Information management

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Automatic Inverse Synthetic Aperture Radar Ship Targets Recognition using Simple Multiple Kernel Learning: Automatic ISAR Ship Targets Recognition using Simple-MKL 24

Automatic Inverse Synthetic Aperture Radar Ship Targets Reco...

引用

Proceedings of the 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management

作者： Yuan Wu Fulin Su Xue Li Peipei Zhu Xunwei Xie National Key Laboratory of Complex Aviation System Simulation Southwest China Institute of Electronic Technology Chengdu Sichuan China School of Electronics and Information Engineering Harbin Institute of Technology Harbin Heilongjiang China

ISBN: (纸本)9798400709753

In radar automatic target recognition (RATR), inverse synthetic aperture radar (ISAR) image recognition shows its advantages. Due to the limited sample size of ISAR images, support vector machine (SVM), known for its robustness in small sample classification, is often used for ISAR image recognition. For ISAR images of different targets, the single kernel SVM algorithm might lose its robustness. Therefore, this paper applies multiple kernel learning (MKL) to ISAR ship target recognition. The process begins with the preprocessing of the ISAR images to suppress Gaussian white noise. Then, principal component analysis (PCA) is employed to extract features from the ISAR images. Finally, the Simple-MKL method is used to recognize the samples. Experiments based on simulation data indicate that the method used in this paper improves the accuracy compared to other single-kernel SVM algorithms with different kernel functions.

关键词： Inverse Synthetic Aperture Radar (ISAR)

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