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Application of improved genetic ant colony optimization in radar resource interference allocation

Application of improved genetic ant colony optimization in r...

引用

IET International Radar Conference (IET IRC 2020)

作者： Y. Liao W. Guo L. Hu Harbin Engineering University Information and Communication Engineering Department Harbin China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China

Under the condition of limited interference resources, how to maximize the benefits of multiple jammers interfering with multiple radars has become a research hotspot. This paper has designed a reasonable interference evaluation method. Aiming at the disadvantages of genetic algorithm and ant colony optimization, made some improvements, and combined genetic methods and ant colony optimization, besides, a new crossover and mutation method based on constraints is proposed, which overcomes the shortcomings of invalid iteration of genetic algorithm and easy to fall into local optimal solution of ant colony optimization. Through simulation analysis, the fused algorithm can reach the optimal value within a short number of iterations, improving the utilization efficiency of the jammer.

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Mechanically Beam-steering of Horn Antenna Using Non-uniform Flexible Meta-Surface

Mechanically Beam-steering of Horn Antenna Using Non-uniform...

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International Conference on Computer and Communications (ICCC)

作者： Zhiye Jiang Pei Zheng Yuwei Qiu Hailiang Zhu Chenyu Ding Gao Wei National Key Laboratory of Science and Technology on Test Physics &Numerical Mathematics Beijing China School of Electronics and Information Northwestern Polytechnical University Xi'an Shaanxi China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

Research on mechanically beam-steering of horn antenna using non-uniform meta-surface is presented in this paper. After optimizing the layout of quasi-I-shaped unit cell, we designed a flexible bi-layer meta-surface that can bring a main beam deflection of 40°. When the meta-surface is sliding along the long side of horn antenna, the main beam can be steered accordingly in a range of ±40°. A mechanically radiation reconfigurable antenna is thus achieved by a simple structure. Sliding of the meta-surface relative to the horn can be realized by a motor-driven conveyor belt when the prototype is fabricated in the following research.

关键词： Geometry Beam steering Horn antennas Conferences Layout Prototypes Bandwidth

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Unified OSTBC-based communication scheme for cooperative space vehicles

Unified OSTBC-based communication scheme for cooperative spa...

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IET International Radar Conference 2018, IRC 2018

作者： Geng, Jian Liu, Hongyan Jin, Wen Yan, Xinfeng Xu, Jin Beijing Institute of Space Long March Vehicle Beijing China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics China

In many spatial cooperative vehicle networks, omni-directional communication is preferred due to its flexibility for networking. In the recent studies, space time code was shown to be an effective approach for improving the performance of the omni-directional communication between space vehicles. This paper studies the unified scheme for the orthogonal space time block code-based transmission between two space vehicles equipped with different numbers of antennas. It is obtained that at most six passive antennas and four RF chains are enough for the typical use. In the proposed scheme, the receiver can perform a unified detection procedure regardless of the actual number of the transmit antennas, which facilitates the practical application. Simulation results validate the proposed scheme in terms of the cumulative distribution function of the received signal-to-noise ratios. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Space time codes

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Deep representation method for radar emitter signal using wavelet packets decomposition

Deep representation method for radar emitter signal using wa...

引用

IET International Radar Conference 2018, IRC 2018

作者： Cao, Yang Bai, Jin Liang Li, Hongbo Zhao, Jian Liu, Shuo Gao, Zhiyong National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China School of Electronics and Information Engineering Harbin Institute of Technology Harbin China

Signal representation is to transform the intercepted original signal into feature parameters, which is the basis for the electronic reconnaissance system to analyse and identify a radar. The traditional method is to manually design a limited number of features with prior knowledge, which can only achieve the desired results in specific applications. Therefore, it is necessary to study signal representation methods that are more adaptable, reasonable, and effective. This study proposes a feature-level design scheme that extracts multi-level signal feature parameters to obtain deep essential feature representations, which is consistent with deep-learning frameworks. Through the decomposition through wavelet packet transform (WPT), the best sub-band tree structure of the signal can be obtained, and the depth representation of the signal can be well achieved, which can meet requirements of time-frequency analysis automatically. Here, Symlets wavelet packet decomposition (WPD) is used as an example to implement multi-layer signal feature representation. The combination of characteristic parameters at different levels can reflect the different information contained in different radar signals. The simulation results show that the method can effectively identify the modulation mode of radar signals and enhance the information mining ability from radar signals. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Radar

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Station Layout Optimization Genetic Algorithm for Four Stations TDOA Location

Station Layout Optimization Genetic Algorithm for Four Stati...

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第二届人工智能、网络与信息技术国际研讨会

作者： Ruiqi Sun Zhonghang He Lu Gao Jinliang Bai National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics

Station layout has a direct impact on localization precision for four-station TDOA(time difference of arrival) location system. In order to optimize the overall location precision of targets in certain area, genetic algorithm for station layout optimization is presented. GDOP is regarded as the measurement rule of location precision. Then the multi-object programming mathematical model of station layout optimization is built. The optimal solution is searched by genetic algorithm. Consequently, the optimal layout of station is obtained. The simulation provides the GDOP distribution of two station layouts. One is the initial station layout, and the other is the optimal station layout. The simulation results show that for the optimal station layout, the effect of improving the location precision is obvious, and also indicate the validity of genetic algorithm.

关键词： Station Layout Optimization Genetic Algorithm for Four Stations TDOA Location

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Data block processing structure for airship-borne passive bistatic radar

Data block processing structure for airship-borne passive bi...

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IET International Radar Conference 2018, IRC 2018

作者： Xu, Feng Liu, Xin Liu, Li Wang, Chao Wang, YiFei National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing100076 China DFH Satellite Co. Ltd Beijing100094 China

Serious ground clutter is of significant influence for target detection in an airship-borne passive bistatic radar (ABPBR) using frequency modulated broadcasting signals. The authors propose a data segment processing scheme to recover the direct signal from multi-path clutter and suppress the multi-path in the surveillance channel in an ABPBR. Super exponential (SE) equaliser and sample matrix inversion algorithm are exploited to recover the transmitted signal and suppress the serious multi-path interference, respectively. It is shown that the proposed algorithms can accomplish the target detection task effectively by computer simulations. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Airships

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Calculation on External Heat Flux of a Space Camera

Calculation on External Heat Flux of a Space Camera

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第七届计算与信息科学国际学术会议

作者： Lian Xue Jiaqi Liu Lu Gao Zhiqi Liu Luping Zhang China National Key Laboratory of Science and Technology on Test Physics ＆Numerical Mathematics

In order to obtain accurate external heat flux data,the space system thermal simulation module in NX is used to solve the thermal analysis design problem on a camera in space flight *** effects of different time,different seasons and different orbital altitude on the external heat flux of spacecraft surface are *** calculation results show that for different seasons and different orbital altitudes,the variation laws of external heat flux on the same surface are basically the same,and there are only differences in *** differences are small,within 10 %;For the camera launched at different times of the day,the law of external heat flux changes is completely different,and difference in value is also very *** heat flux in the area exposed to the sun is 6.38 times that of the heat flux in the shadow *** results can be used to guide thermal design and calculate the temperature distribution of the *** the other hand,they provide reference for the design of other types of spacecraft with similar orbits.

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Information Oriented Architecture of M&S Ecosystem

Information Oriented Architecture of M&S Ecosystem

引用

第三十八届中国控制会议

作者： Zheng ZHAO Chao ZHANG Jiaqi LIU LIUXin National Key Laboratory of Science&Technology on Test physics and Numerical mathematics

The paper conceives a new perspective of Architecture to build a ULS-liked M&S system. Under this perspective, Architecture of M&S ecosystems is developed under the "bottom-up" design pattern. To build the M&S ecosystem, we suggest a new concept of simulation resource name space such that all the simulation resource can be managed for the aim of sharing the resource by all simulation customer in the ecosystem. Also, the workflow of process of M&S ecosystems creating is provided.

关键词： Data Driven M&S simulation ecosystem

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A New End-to-end Modulation Recognition Algorithm Based on Deep Learning

A New End-to-end Modulation Recognition Algorithm Based on D...

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： Jingpeng Gao Fu Wang Lu Gao Xu Wang School of information and Communication Engineering Harbin Engineering University Harbin China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Institute of Space Long March Vehicle Beijing China

ISBN: (数字)9781728144801

ISBN: (纸本)9781728144818

To solve the problem of difficult modulation recognition of emitter signals at low signal-to-noise and low recognition rate caused by improper feature extraction, a new end-to-end modulation recognition algorithm based on deep learning is proposed. The algorithm can effectively recognize LFM, Costas, Frank code, and P1-P4 code. Firstly, an end-to-end modulation recognition network based on bi-directional long-short term memory is proposed to extract the time features of emitter signals for recognition. Then, to extract the space features of emitter signals, it explores a one-dimensional convolutional neural network structure. Finally, one-dimensional convolutional neural network and bi-directional long-short term memory are combined with pre-training and fine-tuning to accelerate the convergence speed and improve the recognition rate. The simulation results show that the recognition rate of the algorithm can reach 75.23% at the -6dB signal-to-noise ratio. It can also be used for modulation recognition in the mechanical field.

关键词： Feature extraction Modulation Training Signal to noise ratio Convolution Speech recognition Frequency modulation

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A method for feature extraction based on SVD and machine learning 2

A method for feature extraction based on SVD and machine lea...

引用

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation, AMIMA 2019

作者： Mao, Wei Huang, Shuxian Liu, Xin Liu, Hongyan Liu, Jiaqi Shu, Yi National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics 100076 China Beijing Institute of Precision Mechatronics and Controls 100076 China Beijing Institute of Long March Vehicle 100076 China

By studying the shortcomings of feature, which extracted from Radar-Cross Section(RCS),using mathematical and statistical method, using the idea of extracting abstract features in image recognition and speech recognition by artificial intelligence for reference[2][3]. This paper explores the possibility of extracting abstract features of target's RCS sequence, and proposes an abstract feature extraction method of RCS sequence based on singular value decomposition(SVD) feature decomposition. Because of the poor interpretability of abstract features, four different machine learning algorithms are used to classify the extracted Abstract features. The experimental results show that the machine learning algorithm can classify different types of spatial objects with high accuracy, which shows that the RCS features of different spatial objects can be characterized by abstract features. © Published under licence by IOP Publishing Ltd.

关键词： Radar cross section

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