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5th International Conference on Intelligent Control, Measurement and Signal processing, ICMSP 2023

作者： Zhao, Jiuchao Zhan, Ronghui Cao, Jingmin Peng, Huafeng College of Electronic Science and Engineering National University of Defense Technology Changsha China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (纸本)9798350336030

The effective multi-target detection and tracking has always been a research hotspot in the field of radar, and there are many factors that affect the performance of the algorithm for multi-target tracking. Aiming at the target birth issue, this paper proposes an adaptive target birth intensity method based on scene optimization. This method is mainly applied to the radar long-term continuous monitoring scenario, and the monitoring area is divided into the target-birth consideration area and non-target-birth consideration area by some prior information of the monitoring area and the target status. And then the target birth process in the target-birth consideration area is strengthened, while the clutter interference from the non-target-birth consideration area is eliminated, so as to improve the target tracking performance and processing efficiency. Finally, the effectiveness and robustness of the proposed algorithm are verified by simulation experiments and analysis. © 2023 IEEE.

关键词： Target tracking

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A S-transform Based Algorithm for Doppler Frequency Rate-of-Change Estimation from Coherent Pulse Train 3

A S-transform Based Algorithm for Doppler Frequency Rate-of-...

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2021 3rd International Conference on Computer, Communications and Mechatronics Engineering, CCME 2021

作者： Lan, Zhangfu Peng, Huafeng Zhao, Peiyan National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu610041 China

The traditional Fourier correlation method has the problem of poor accumulation effect, which leads to the low estimation accuracy of Doppler frequency change rate coherent pulse signal under the condition of low signal-to-noise ratio or short pulse duration. To solve this problem, an estimation algorithm based on S-transform is proposed to estimate the Doppler frequency change rate. By means of higher time-frequency aggregation of S transform, the coherent accumulation of the coherent pulse signal is better realized;Then the high accuracy Doppler frequency change rate is obtained by using the minimum variance criterion in the phase domain. Theoretical derivation and simulation results show that the algorithm in this paper can improve the accuracy of about 1 times compared with the traditional algorithm. It lays a solid foundation for the estimation of the high-precision Doppler frequency change rate in the practical application of subsequent projects, and improves the accuracy of target positioning and tracking. © Published under licence by IOP Publishing Ltd.

关键词： Frequency estimation

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Design of a Crooked-Wire Antenna by Differential Evolution and 3D Printing

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International Journal of Cognitive Informatics and Natural Intelligence 2021年第4期15卷 1-16页

作者： Zhao, Fei Xu, Qinghui Zeng, Sanyou Science and Technology on Blind Signal Processing Laboratory United States China University of Geosciences China

Antenna design often requires dealing with multiple constraints in the requirements, and the designs can be modeled as constrained optimization problems (COPs). However, the constraints are usually very strange, and then the feasible solutions are hard to find. At the same time, the robustness for antenna design is an important consideration as well. To solve the above issues, the combination of differential evolution algorithm (DE) and 3D-printing technique is presented to design a new crookedwire antenna. In the design process, DE is adopted to handle the constraints since DE is simple and efficient in finding feasible solutions. The objective of the modeled COP, which is the sum of variance of the gain, axial ratio, and VSWR over the frequency band, is used to enhance the robustness of the antenna and widen the frequency band without additional computational cost. The precision of fabricating the antenna is ensured by using 3D-printing. The design of the NASA LADEE satellite antenna is chosen as an example to verify the method of this paper. Experimental results show that the performance of the evolved antenna meets the design requirements. © 2021 IGI Global. All rights reserved.

关键词： Satellite antennas

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ASTF: Visual Abstractions of Time-Varying Patterns in Radio signals

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IEEE Transactions on Visualization and Computer Graphics 2023年第1期29卷 214-224页

作者： Zhao, Ying Ge, Luhao Xie, Huixuan Bai, Genghuai Zhang, Zhao Wei, Qiang Lin, Yun Liu, Yuchao Zhou, Fangfang School of Computer Science and Engineering Central South University Changsha China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China College of Information and Communication Engineering Harbin Engineering University Harbin China China Research Institute of Radiowave Propagation Qingdao China

A time-frequency diagram is a commonly used visualization for observing the time-frequency distribution of radio signals and analyzing their time-varying patterns of communication states in radio monitoring and management. While it excels when performing short-term signal analyses, it becomes inadaptable for long-term signal analyses because it cannot adequately depict signal time-varying patterns in a large time span on a space-limited screen. This research thus presents an abstract signal time-frequency (ASTF) diagram to address this problem. In the diagram design, a visual abstraction method is proposed to visually encode signal communication state changes in time slices. A time segmentation algorithm is proposed to divide a large time span into time slices. Three new quantified metrics and a loss function are defined to ensure the preservation of important time-varying information in the time segmentation. An algorithm performance experiment and a user study are conducted to evaluate the effectiveness of the diagram for long-term signal analyses. © 2022 IEEE.

关键词： Data visualization

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Cooperative Optimization Method of UAV Swarm for Multi-objective High-Precision Location 5th

Cooperative Optimization Method of UAV Swarm for Multi-objec...

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5th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2021

作者： Li, Bowen Ji, Xiaoting Huang, Yuanling School of Information System Engineering Information Engineering University Zhengzhou450001 China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu610041 China

ISBN: (纸本)9789811939976

In the field of electromagnetic radiation source location, using UAVs to locate the radiation source target has become a new location method. At present, the UAV swarm cooperative optimization method for high-precision location has some challenges, such as insufficient ability of multi-objective high-precision location, poor timeliness and so on. To solve these problems, this paper proposes a cooperative optimization method of UAV swarm for multi-objective location. Firstly, the multi-objective joint location accuracy is derived, which is taken as the objective function of swarm cooperative optimization. Secondly, in order to allocate multiple UAVs to multiple targets efficiently, the initialization strategy based on target isolation and the random allocation method of UAV based on probability are proposed. Finally, by combining the above improved strategies, an optimization method of UAV swarm cooperative location is proposed. Through the analysis of experimental results, the cooperative optimization method in this paper has obvious advantages in global optimization and convergence ability, which can improve the joint location accuracy and optimization speed. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Receiver System Design for Universal Polyphase DFT Digital Channelization Algorithm 5

Receiver System Design for Universal Polyphase DFT Digital C...

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5th IEEE International Conference on Electronics technology, ICET 2022

作者： Lu, Shihang Su, Zhengyu Liao, Kaisheng Li, Chao Xiao, Zhuoling Yan, Bo Lin, Shuisheng Wu, Bo University of Electronic Science and Technology of China Science and Technology on Electronic Information Control Laboratory National Key Laboratory of Science and Technology on Blind Signal Processing School of Information and Communication Engineering China

ISBN: (纸本)9781665485081

Receiver plays a vital role in various electronic countermeasure systems and has always been a hot topic to research. Based on the traditional receiver digital channelization structure, this paper further researches and derives the high-efficiency digital channelization structure based on polyphase discrete Fourier transform corresponding to various application scenarios. Then we design a 256-sub-channel digital channelization system and implement it on a 64-channel parallel digital down converter to verify the structure. The system design relies on system on chip as the platform, and we verify the feasibility of it on field programmable gate array. © 2022 IEEE.

关键词： System-on-chip

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Machine Learning-Assisted Optimization of Direction-Finding Antenna Arrays 14th

Machine Learning-Assisted Optimization of Direction-Finding ...

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14th International Symposium on Intelligence Computation and Applications, ISICA 2023

作者： Zhang, Qing Gong, Miao Li, Gouqiong Ma, Xinyu Chen, Yiheng Zhao, Fei Zeng, Sanyou School of Computer Science Huanggang Normal University Huanggang438000 China Germany School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan430074 China Science and Technology on Blind Signal Processing Laboratory Chengdu610041 China

ISBN: (纸本)9789819743957

Antenna design is usually a complex optimization problem. It usually includes two stages. The first stage is to formulate it as an optimization problem. And then the second stage is to design an algorithm to solve the optimization problem. This paper aims to design unequally spaced antenna arrays for direction-finding, which requires cooperation among direction-finding users, antenna designers and optimizers. The paper combines the direction finding array with the optimization design and analyzes how to construct a reasonable optimization problem from the practical optimization design problem construction stage which has been neglected. A multi-objective problem is constructed by taking the direction-finding performance as the optimization objective. The mutual coupling effect causes the design of array antennas to require electromagnetic simulation to ensure the reliability of the results, which is a very time-consuming and expensive problem. Gaussian regression model is introduced into the multi-objective optimization algorithm to construct inexpensive surrogate optimization problems that reduce the number of accurate simulation evaluations. The experimental results show that the designed array meets all the requirements with good robustness while the number of simulations required is less than that of previous methods. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Antenna arrays

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Research on Target Detection Based on Clustering and Hough Transform

Research on Target Detection Based on Clustering and Hough T...

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2022 International Conference on Statistics, Data science, and Computational Intelligence, CSDSCI 2022

作者： Luo, Yanpeng Xiong, Jinyu Yang, Yuxiang Zhu, Mingjun Zhang, Tongxin Cheng, Haibing College of Information System Engineering PLA Strategic Support Force Information Engineering University Zhengzhou China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (纸本)9781510661325

Formation target track sorting is an important problem in multi-target track processing. Unlike the processing of periodic scans and point tracks of active radar, passive positioning data has the problems of irregular positioning period and difficulty in distinguishing multiple targets by target signal attributes. In this paper, we propose a track initiation algorithm for passive positioning system based on density clustering and Hough transform for the characteristics of passive positioning system. The algorithm first uses the density clustering algorithm to identify the cluster centers of targets with large measurement errors, and then uses the Hough transform method to initiate a track. © 2023 SPIE.

关键词： Hough transforms

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A Snapshot Cluster Segmentation Method Based on Dynamic Network

A Snapshot Cluster Segmentation Method Based on Dynamic Netw...

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2022 International Conference on Statistics, Data science, and Computational Intelligence, CSDSCI 2022

作者： Zhang, Tongxin Lu, Luxi College of Information System Engineering PLA Strategic Support Force Information Engineering University Zhengzhou China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (纸本)9781510661325

Dynamic graph neural networks are a research hotspot in the field of deep learning, especially in social networks, recommendation systems, traffic networks and other fields with very wide applications. At present, most of the commonly used deep learning based network analysis methods are focused on discrete dynamic graph neural networks. However, the effectiveness of discrete graph neural network methods is based on the degree of good or bad snapshot segmentation of dynamic networks, so this paper proposes a snapshot clustering segmentation method (SCSM) for dynamic networks, and researchers can effectively segment the snapshots of dynamic networks by the SCSM method in this paper to make the downstream tasks can get good results. © 2023 SPIE.

关键词： Graph neural networks

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Deep Graph Learning on Bipartite Observed Networks 2

Deep Graph Learning on Bipartite Observed Networks

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2nd Asia-Pacific Conference on Communications technology and Computer science, ACCTCS 2022

作者： Wei, Qiang School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (纸本)9781665400343

In real-world settings, network structure observations are often incomplete due to the difficulties of data collection. However, most existing network analysis methods assume that the whole underlying structure is observed. In this paper, we focus on a common but overlooked network observation, named bipartite observation. We systematically study the influence of bipartite observations, and give an analytical representation using the stochastic block model. Moreover, we propose a new framework LP-GNN, which combines link prediction, sparsification, and graph neural networks for node classification tasks in bipartite observations. The effectiveness of LP-GNN is illustrated by experimental results on real datasets. © 2022 IEEE.

关键词： Graph neural networks

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