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AIAA Modeling and Simulation Technologies Conference, 2016

作者： Niu, Wei Niu, Wensheng Cheng, Juan AVIC Computing Technique Research Institute 15 Jinye Er Road Xi’anShaanxi710065 China Aviation Key Laboratory of Science and Technology on Airborne and Missileborne Computer Xi’an710065 China Xidian University 9 Dianzi 3rd Road Xi’anShaanxi710071 China

ISBN: (数字)9781624104299

ISBN: (纸本)9781624104299

With basic requirements for fault diagnosis of health management technology—detect and diagnosis fault precisely, decrease CFAR efficiently, make a research from three respects: uncertainty of data, uncertainty of diagnosis result and uncertainty of feature parameter selection. Based on advantages for uncertainty problem of Bayesian network, Hierarchical Bayesian for fault diagnosis is proposed. The existing algorithms are not capable of selecting variables systematically so that they generally use the full model, which may contain unnecessary variables as well as necessary variables. Ignoring this model uncertainty often gives rise to, so called, the smearing effect in solutions. Complexity and difficulty of modeling is increased. The simulation results show this method can get better fault feature, improve fault discernment, and validate the model efficiency. © 2016 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Failure analysis

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Video dehazing for surveillance unmanned aerial vehicle

Video dehazing for surveillance unmanned aerial vehicle

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Conference on Digital Avionics Systems (DASC)

作者： Yue Cheng Wensheng Niu Zhengjun Zhai AVIC Computing Technique Research Institute Aviation Key Laboratory of Science and Technology on Airborne and Missileborne Computer Xi'an China School of Computer Science Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781509025244

Video dehazing is an important preprocessing task to improve the visibility of various UAV videos for further processing, such as target recognition and tracking. State-of-the-art Guided Filter based method employs dark channel prior to infer the direct scene transmission parameter and refines it using guided image filter. The quality of the dehazing result from this method is satisfactory except some artificial effect in large sky area. Meanwhile, the computational efficiency is not very high and the real-time performance is not reached. In this paper, a parallel framework for video dehazing algorithm is proposed to accelerate the dehazing computation on UAV ground station. Firstly parallel O(1) complexity local minimum filter is employed to get the initial dark channel image, which is further refined by parallel Joint Recursive Bilateral Filter. Combined with the atmosphere parameter which is obtained by histogram based estimation, the dehazing result is finally achieved. The proposed method is evaluated on multi-core UAV ground station using C++ programming language with OpenMP compiler directive. Experimental results show that the proposed method outperforms available Guided Filter based method and has a real-time performance.

关键词： Real-time systems Mathematical model Unmanned aerial vehicles Computational efficiency Atmosphere Surveillance Complexity theory

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Service-Oriented Intelligent Avionics System Architecture 10th

Service-Oriented Intelligent Avionics System Architecture

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10th Chinese Society of Aeronautics and Astronautics Youth Forum, 2022

作者： Yan, Zhao Pengcheng, Wen Linting, Bai Na, Wu Xi’an Aeronautics Computing Technique Research Institute AVIC Xi’an710068 China Aviation Key Laboratory of Science and Technology On Airborne and Missile-Borne Computer Xi’an710065 China

ISBN: (纸本)9789811976513

As the core component of the aircraft, the avionics system has gone through the independent, federated, and integrated architecture to deal with the increasingly complex air combat scenarios. With the development of artificial intelligence and integrated circuits, avionics systems should be prepared to equip a large number of intelligent applications, which contributes to more effectively completing the military missions. In addition, the next generation of avionics systems need to be more flexible, and thus can be conveniently updated and allow intelligent applications effectively communicate with each other. Therefore, to achieve a more intelligent and flexible avionics system, this paper proposes a novel Service-oriented Intelligent Avionics System Architecture, named as SIASA. With such a service-oriented architecture, SIASA provides a flexible software platform by treating intelligent applications as services. Specifically, the proposed SIASA consists of seven layers, i.e., airborne intelligent chip layer, abstraction layer, hashrate abstraction layer, equipment abstraction layer, airborne service capability layer, airborne intelligent application atomic service layer, and airborne intelligent application layer. With these layers, SIASA well supports intelligent applications and is able to make effective and efficient updates. Furthermore, SIASA also supports more advanced scenarios, including airborne OTA, drag-and-drop software development, and system intelligence. © 2023, Chinese Aeronautical Society.

关键词： Artificial intelligence

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UAV Swarm Coordination Based on Intelligent Microservices 6th

UAV Swarm Coordination Based on Intelligent Microservices

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6th China Aeronautical science and technology Conference, CASTC 2023

作者： Zhao, Yan Wen, Pengcheng Bai, Linting Wang, Bin Xi’an Aeronautics Computing Technique Research Institute AVIC Xi’an710068 China Aviation Key Laboratory of Science and Technology on Airborne and Missile-Borne Computer Xi’an710065 China

ISBN: (纸本)9789819988631

The development of unmanned aerial vehicle (UAV) swarm technology has opened up new possibilities for various applications, such as search and rescue, precision agriculture, and surveillance. However, the coordination of a large-scale UAV swarm is a complex task that requires intelligent, efficient, and scalable techniques. In recent years, the emergence of microservice architecture has provided a promising approach to addressing the challenges of UAV swarm coordination with intelligent techniques. In this paper, we first provide scenario analyses to demonstrate how intelligent microservices allow UAV swarm coordination more effective and efficient. Then, we present key technologies for UAV swarm coordination based on intelligent microservices. Specifically, we introduce our solutions to address the three main challenges, i.e., service split, service registration and discovery, and security and privacy in implementing the intelligent microservice-based UAV swarm coordination system. Finally, we present the possible future directions of this research area, i.e., optimization of computing resource allocation, integration of advanced AI algorithm, and human-UAV interaction. © 2024, Chinese Society of Aeronautics and Astronautics.

关键词： Antennas

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Assessment Model of the Architecture of the Aerospace Embedded computer

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Procedia Engineering 2015年 99卷 991-998页

作者： Wei Han Xiaoying Bai Jianchun Xie Dep. of Computer Science & Technology No.1 Tsinghua Yuan Haidian District Beijing 100084 China AVIC Computing Technique Research Institute No.15 Jinye 2 steet Yanta District Xi’an 710065 China Aviation Key Laboratory of Science and Technology on Airborne and Missileborne Computer No.15 Jinye 2 street Yanta District Xi’an 710065 China

Typical aerospace embedded computers have many characters in common, especially in the aspect of the design of computer architecture. To evaluate this category of computers, 3 typical aerospace embedded computers were sampled and their characters of architecture and common technology were analyzed. Eight characters of architecture were concluded, and three evaluation dimensions were proposed. A basic guideline and a practical reference value or design were attached to each architecture character. The relationship was analyzed among the final assessment result, the evaluation dimensions and the architecture characters. Any aerospace embedded computer can be scored according to the assessment model for various estimate requirements. The evaluating method and progress were illustrated through one kind of advanced aerospace embedded computer's evaluation case. The case indicates that the assessment model is clear, effective and practical. It can provide some guidance for the design and performance analysis of aerospace embedded computers.

关键词： aerospace embedded computer architectural assessment modular net-centric

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A Real-Time Sensor Guided Runway Detection Method for Forward-Looking Aerial Images

A Real-Time Sensor Guided Runway Detection Method for Forwar...

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International Conference on Computational Intelligence and Security

作者： Jingzhe Wang Yue Cheng Jianchun Xie Wensheng Niu Aeronautics Computing Technique Research Institute Aviation Key Laboratory of Science and Technology on Airborne and Missile-borne Computer Xi'an China

ISBN: (纸本)9781467386616

With the development of avionics technology, the runway detection technique becomes increasingly important both in military and civil applications. But the existing runway detection methods are mostly intended for satellite images or downward-looking aerial photos and the algorithm complexity is relatively high, which makes it hard to apply them to airborne real-time applications. In this paper, a real-time sensor guided runway detection method is presented. First of all, with the help of sensor data and terrain data from EVS and SVS, a runway template is generated and a search region is therefore determined. Then within the search region, a lines extraction on query image is performed. And finally the matching process is applied to the query image and template to detect the runway area. Experimental results on simulation system and real aerial images show that the proposed approach has a high precision and an 87.7% less time cost than an existing state-of-art matching method.

关键词： Real-time systems Image edge detection Cameras Airports Feature extraction Complexity theory Machine vision

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ISAR imaging of complex moving targets based on coherent accumulation type non-uniform sampling third-order autocorrelation function

ISAR imaging of complex moving targets based on coherent acc...

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International Conference on computer Engineering and Applications (ICCEA)

作者： Zongyang Sun Tong Zhang Kangfa Xu Qiheng Song Aviation Key Laboratory of Science and Technology on Airborne and Missle-Borne Computer Xi’an Aeronautics Computing Technique Research Institute AVIC School of Computer Science Northwestern Polytechnical University Xi’an China Aviation Key Laboratory of Science and Technology on Airborne and Missle-Borne Computer Xi’an Aeronautics Computing Technique Research Institute AVIC Xi’an China

ISBN: (数字)9798350386776

ISBN: (纸本)9798350386783

ISAR imaging algorithm based on Coherent accumulation type non-uniform sampling third-order autocorrelation function (CANS-TAF) is proposed for complex moving targets. CANS-TAF defines a new non-uniform sampling third-order autocorrelation function (NTAF), which enables signal energy to accumulate coherently in the slow time delay two-dimensional data domain and improves the noise resistance performance of CPS parameter estimation. And the implementation process of this algorithm only requires complex multiplication, Scaled Fourier Transform (SFT) and Complete the Fast Fourier Transform (FFT) operation. It is a new non search parameter estimation algorithm that does not require tedious parameter search processes or the use of non-uniform Fourier transform. The final simulation experimental results demonstrate the superiority of the proposed algorithm in terms of Noise immunity.

关键词： Resistance Parameter estimation Fast Fourier transforms Signal processing algorithms Imaging Resists Radar

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Design and Realization of Intelligent airborne Information Processing Concept Simulation System 24

Design and Realization of Intelligent Airborne Information P...

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24th IEEE International Conference on High Performance Computing and Communications, 8th IEEE International Conference on Data science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Xie, Jianchun Bai, Linting Luo, Qing Aviation Key Laboratory of Science and Technology on Airborne and Missile-borne Computer Avic Xi'an Aeronautics Computing Technique Research Institute Xi'an China College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics Nanning China Shenyang Aircraft Design and Reserch Institute Shenyang China

ISBN: (纸本)9798350319934

Facing the development trend of future distributed cloud operations, intelligent operations, and the technical requirements of multi-machine collaborative operations in the aviation field, this paper further studies the unified data transmission and management of multiple platforms based on the research of the unified cloud intelligent combat system architecture. Distributed data storage and management, multi-platform open information processing resource management and other key technologies, on the basis of the principle prototype designed and implemented by ourselves, a set of conceptual simulation platforms have been constructed for the simulation and technical verification of the entire airborne information processing system. © 2022 IEEE.

关键词： Distributed cloud

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Performance Evaluation of Intelligent Computing Platform for Air-Combat Decision Algorithm

Performance Evaluation of Intelligent Computing Platform for...

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IEEE International Conference on High Performance Computing and Communications (HPCC)

作者： Kangfa Xu Linting Bai Pengcheng Wen Wensheng Niu Aviation Key Laboratory of Science and Technology on Airborne and Missle-borne Computer Xi'an Aeronautics Computing Technique Research Institute AVIC Xi'an China

At present, some performance evaluation methods of intelligent computing platform oriented to air combat decision algorithm have problems such as complex evaluation index system construction, poor evaluation accuracy, difficult to verify the effectiveness of evaluation conclusions and lack of real-time performance. Based on this, this paper establishes the intelligent computing platform performance evaluation index set according to the intelligent decision class algorithm structure, platform compatibility and platform hardware characteristics. Cloud center of gravity method and consistent weighting method are selected as the evaluation algorithm and weighting algorithm respectively to carry out real-time evaluation and form the initial evaluation conclusion. Besides, the “evaluation confidence” is used to judge the validity of the evaluation conclusion and whether a second evaluation is needed to form the final conclusion and the simulation environment of air combat is used to verify the accuracy of the evaluation results. This method avoids the randomness and uncertainty of the traditional evaluation methods, ensures the real-time and effectiveness of the evaluation results, significantly improves the accuracy, and can truly and effectively reflect the operational performance of the computing platform equipped with the air-combat decision algorithm.

关键词： Performance evaluation Uncertainty Simulation Atmospheric modeling Real-time systems Hardware Indexes

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ISAR Imaging of Targets with Complex Motions Based on the Non-uniformed Sampled Integrated Modified Chirp Rate-Quadratic Chirp Rate Distribution

ISAR Imaging of Targets with Complex Motions Based on the No...

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Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter), ACIS International Winter Conference on

作者： Zongyang Sun Linting Bai Kangfa Xu Aviation Key Laboratory of Science and Technology on Airborne and Missle-borne Computer Xi'an Aeronautics Computing Technique Research Institute AVIC Xi'an China

This paper proposes a new ISAR algorithm for obtaining well-focused images of targets with complex motions in low signal-to-noise ratio (SNR) environments. The algorithm models the echo signals of targets with complex motions as cubic phase signals (CPS) after motion compensations and uses the Non-uniformed Sampled Integrated Modified Chirp Rate-Quadratic Chirp Rate Distribution (NIM-CRQCRD) to estimate CPS parameters. The proposed algorithm compensates the echo signals using the parameter estimates and generates ISAR images of targets with complex motions. Simulation results show that the proposed algorithm has superior anti-noise performance.

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