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IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Yinfeng Xia Yanyan Wang Yingsong Li Wei Xue Qiubo Ye College of Information and Communication Engineering Harbin Engineering University Harbin China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China School of Information Engineering Jimei University Xiamen China

ISBN: (数字)9781728198057

ISBN: (纸本)9781728198064

In this paper, we will propose a super wide bandwidth low frequency antenna with a compact size for HF, VHF and UHF applications. The developed low frequency antenna consists of coplanar guide feeding structure, sleeve-like structure with lumped elements, reactance loading in the feeding. The antenna is investigated and evaluated in the HFSS, and the simulation results shows that the proposed antenna has a very wide fractional bandwidth of 191.9% from 10 MHz to 481 MHz for supporting the HF, VHF, UHF and P-band detection system applications in various platform like aircraft, ship and vehicles.

关键词： Simulation Loading UHF antennas Broadband antennas Marine vehicles Loaded antennas Wideband

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Refined recognition and intelligent smart interference of radar signal

Refined recognition and intelligent smart interference of ra...

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2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： Yuan, Jianquan Bu, Yunong Yang, Shuyuan Chi, Qingxi Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Beijing Electro-Mechanical Engineering Institute Beijing China Xidian University Xi'an China

ISBN: (纸本)9781728137926

Facing the complex electromagnetic environment on the battlefield, how to effectively identify important radar signals by jammers and how to implement strong and effective electromagnetic interference to the enemy's huge radar detection system under the condition of limited jamming resources will be the difficult problems that need to be solved continuously in the electronic warfare field. The solution of these problems will be the premise of effective interference for wartime jammers. In this paper, the technical gap of traditional jammers is analyzed. For radar signal perception, a refined perception and recognition method is proposed, forming the algorithm idea of multi-scale feature extraction and recognition based on radar fingerprint and multi-channel integrated multi-label recognition and classification based on radar radiation source. For interference implementation, the idea of smart interference based on deep GAN is put forward, laying the ground for further research on cognitive electronic warfare. © 2019 IEEE.

关键词： III-V semiconductors

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The Research on Simulation technology for multi-aircraft cooperative guidance

The Research on Simulation Technology for multi-aircraft coo...

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IEEE International Conference on Unmanned systems (ICUS)

作者： Li Jing Shen Chao Tong JiaHui Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Electro-Mechanical Engineering Institute Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

In this paper, the composition and operation mechanism of a multi-aircraft cooperative simulation system is analyzed, with its formal architecture identified as a discrete event system & differential equation system specifications (DEV&DESS). Then, the operation and control problem of the cooperative simulation system is converted into the simulation control problem of a specific DEV&DESS system. A coordinator-based test method for cooperative simulation is proposed and validated by tests of real-time mathematical simulation.

关键词： aircraft control control system synthesis differential equations discrete event simulation discrete event systems Aircraft control discrete event systems control system synthesis discrete event simulation Differential equations Simulation systems Differentiation Test Method

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Regularized densely-connected pyramid network for salient instance segmentation

arXiv

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arXiv 2020年

作者： Wu, Yu-Huan Liu, Yun Zhang, Le Gao, Wang Cheng, Ming-Ming TKLNDST College of Computer Science Nankai University Tianjin300350 China ETH Zurich Switzerland School of Information and Communication Engineering University of Electronic Science and Technology of China China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

Much of the recent efforts on salient object detection (SOD) have been devoted to producing accurate saliency maps without being aware of their instance labels. To this end, we propose a new pipeline for end-to-end salient instance segmentation (SIS) that predicts a class-agnostic mask for each detected salient instance. To better use the rich feature hierarchies in deep networks and enhance the side predictions, we propose the regularized dense connections, which attentively promote informative features and suppress non-informative ones from all feature pyramids. A novel multi-level RoIAlign based decoder is introduced to adaptively aggregate multi-level features for better mask predictions. Such strategies can be well-encapsulated into the Mask R-CNN pipeline. Extensive experiments on popular benchmarks demonstrate that our design significantly outperforms existing state-of-the-art competitors by 6.3% (58.6% vs. 52.3%) in terms of the AP metric. The code is available at https://***/yuhuan-wu/RDPNet. © 2020, CC BY-NC-ND.

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An Iterative Closest Points Optimization Algorithm for Localization of Mecanum-wheeled Robots

An Iterative Closest Points Optimization Algorithm for Local...

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第三十八届中国控制会议

作者： Ning Hao Rui Xing Qi Zhao Fenghua He Hang Zhang Harbin Institute of Technology Complex System Control and Intelligent Agent Cooperation Laboratory

Over the last years, optimization based estimation methods have been applied with great success to a variety of state estimation problems. In this paper, we propose an optimization algorithm to solve the localization problem of Mecanumwheeled robots in a structured environment based on combination of odometer and laser lidar. First, provide the configuration of the mobile robot and the expression of localization problem based on probability form. Secondly, the optimization cost function is derived from the perspective of maximum posterior estimation. And then an iterative closest points optimization algorithm is proposed to address the combination optimization problem. Finally, simulation experiments are designed and implemented to validate the proposed algorithm.

关键词： localization state estimation iterative closest points optimization Mecanum-wheeled robot

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Network Parameter Generation for One-Shot Object Detection

Network Parameter Generation for One-Shot Object Detection

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2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： Wang, Kang Zhao, Jiajia Wang, Yang Zhou, Shuigeng Fudan University Shanghai Key Lab of Intelligent Information Processing School of Computer Science Shanghai200433 China Beijing Electro-Mechanical Engineer Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Nanchang University School of Information Engineering 330031 China

ISBN: (纸本)9781728137926

Recent object detection models have achieved satisfactory performance by deep learning with large-scale annotated datasets. However, these models often perform poorly when the training examples are not sufficient enough, especially for one-shot object detection where there is only one training example of each target class. In this paper, we propose a network parameter generation framework for effective one-shot object detection. By leveraging the semantic relationship between the source-domain and the target-domain (new classes), our framework can generate network parameters for the new classes directly. Furthermore, we develop two implementation schemes for this framework: weighting-based parameter generation and regression-based parameter generation. These two schemes use different information to construct the relationship and transfer knowledge from the source-domain to the target-domain. Experiments on the PASCAL-OSCD benchmark show that our methods can significantly boost the performance of one-shot object detection. © 2019 IEEE.

关键词： Object detection

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Optimization of Missile Path Planning Based on APMO-HV Algorithm

Optimization of Missile Path Planning Based on APMO-HV Algor...

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2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： Zhang, Hu Wang, Shuai Liu, Tonglin Zhou, Aimin Zhang, Yi Beijing Electro-mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Changzhou University School of Mechanical Engineering Changzhou China East China Normal University Shanghai Key Laboratory of Multidimensional Information Processing School of Computer Science and Technology Shanghai China

ISBN: (纸本)9781728137926

In this paper, with considerations of low efficiency of missile path planning (MPP) by traditional aggregation technology, it uses affinity propagation based multi-objective evolutionary algorithm with hypervolume environment selection (APMO-HV) to solve the problem of MPP after establishing the MPP model. The experimental part compares and analyzes APMO-HV with six state-of-the-art algorithms, and applies it to address the MPP problem. The experimental results show that compared with the other six algorithms, APMO-HV has achieved the best solution performance in both the GLT test suite and MPP problem. This not only validates the effect of the proposed algorithm, but also enriches and improves the research results of MPP. © 2019 IEEE.

关键词： Evolutionary algorithms

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A study on the modified proportional guidance of LOS angle acceleration

A study on the modified proportional guidance of LOS angle a...

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2019 IEEE International Conference on Unmanned systems and Artificial Intelligence, ICUSAI 2019

作者： Li, Xingan Xu, Cheng Zhang, Di Fu, Wenxing Zheng, Meiyun Chang, Xiaofei School of Astronautics Northwestern Polytechnical University Xi'an China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Shanghai Academy of Spaceflight Technology Shanghai China Unmanned System Research Institute Northwestern Polytechnical University Xi'an China School of Marine Science and Technology Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781728158594

Because of the increasing mobility of air targets and the trend of heavy using of UAV in the future, the paper analyzes the parameters and ballistic characteristics of the proportional guidance method based on the revised idea of proportional guidance. The method has certain defects in the face of high maneuvering targets, so we have derived a kind of modified proportional guidance law, and designed a new modified proportional guidance law which can effectively overcome the target maneuvering interference. The digital simulation results show that the modified guidance law can effectively overcome the interference factors such as target maneuvering, and it is easy to implement in engineering. © 2019 IEEE.

关键词： Air navigation

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Design and Implement the Continuous Flickering SSVEP-BCI in Augmented Reality

Design and Implement the Continuous Flickering SSVEP-BCI in ...

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作者： Ruiyan Wang Yufeng Ke Shuang Liu Jiale Du Cheng Xu Bohao Xing Dong Ming Tianjin International Engineering Institute Tianjin University Tianjin University Academy of Medical Engineering and Translational Medicine Tianjin University School of Precision Instruments & Opto-Electronics Engineering Tianjin University Science and Technology on Complex System Control and Intelligent Agent Cooperative Laboratory

Brain-computer interface(BCI) provides a new way to express our minds without peripheral nerves and muscles. In this work, a process control recognition method based on continuous flickering is proposed to output continuous commands. Phase matching method was applied in this work, matching the test data with the template with the same phase to improve the accuracy. We also put forward a high tolerance criterion and give a new definition to the recognition result of attention shift period. We first conducted a screen-based continuous flickering feasibility verification experiment using correlation component analysis algorithm(TRCA) method, and the recognition accuracy reached 85% and 90% under high tolerance criterion. The average offline simulation information translates rate(ITR) was 455.8 bit/min, and the highest ITR reached 524.7 bit/min, which certificated the feasibility. Furthermore, we carried out a drone control experiment based on augmented reality(AR)-BCI using extended filter bank canonical correlation analysis(extended-FBCCA), and achieved an average accuracy of 90% and ITR of 49.1 bit/min, having better performance than repetitive visual stimulus(RVS) with intervals.

关键词： ITR red Design and Implement the Continuous Flickering SSVEP-BCI in Augmented Reality SSVEP

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A Fast Covariance Intersection Tracking Algorithm Based on CDKF

A Fast Covariance Intersection Tracking Algorithm Based on C...

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第三十八届中国控制会议

作者： Hang Zhang Chuang Song Mingrui Hao Linxiu Chen School of Software and Microelectronics Northwestern Polytechnical University Science and technology on complex system control and intelligent agent cooperation laboratory

With the enhancement of the anti-jamming ability of the target, it is difficult to track and strike the target stably and accurately by single guidance. It is necessary to use a variety of detectors as sensors to provide a variety of observation data to track the target stably and achieve accurate strike. In this paper, we mainly research the distributed multi-sensor estimation problem. First, the target motion model and observation model are established. Secondly, the central differential Kalman filter(CDKF) transformation is applied to address the non-linear filtering problem without the need for computation of Jacobian matrix. Then, a FCI fusion algorithm for the multi-sensor target tracking problem is proposed. Compared to the traditional covariance intersection fusion method, FCI is more efficient in computation without the need for complex optimization process. Finally, simulations are designed and implemented and the joint CDKF-FCI fusion estimation algorithm is validated.

关键词： central differential Kalman filter fast covariance intersection fusion information fusion target tracking

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