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Satellite Navigation Method Based on High-Speed Frequency Hopping Signal

China Communications 2023年第7期20卷 321-337页

作者： En Yuan Peng Liu Weiwei Chen Rui Wang Bing Xu Wenyu Zhang Yanqin Tang Command&Control Engineering College Army Engineering University of PLANanjing 210007China

Global navigation satellite system has been widely used,but it is vulnerable to *** military satellite communications,frequency hopping(FH)signal is usually used for anti-jamming *** the FH signal can be used in satellite navigation,the anti-jamming ability of satellite navigation can be *** a recently proposed timefrequency matrix ranging method(TFMR)can use FH signals to realize pseudorange measurement,it cannot transmit navigation messages using the ranging signal which is crucial for satellite *** this article,we propose dual-tone binary frequency shift keyingbased TFMR(DBFSK-TFMR).DBFSK-TFMR designs an extended time-frequency matrix(ETFM)and its generation algorithm,which can use the frequency differences in different dual-tone signals in ETFM to modulate data and eliminate the negative impact of data modulation on pseudorange *** ETFM,DBFSK-TFMR not only realizes the navigation message transmission but also ensures the precision and unambiguous measurement range of pseudorange ***-TFMR can be used as an integrated solution for anti-jamming communication and navigation based on FH *** results show that DBFSK-TFMR has almost the same ranging performance as TFMR.

关键词： satellite navigation frequency hopping ranging navigation message transmission

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Planning,monitoring and replanning techniques for handling abnormity in HTN-based planning and execution

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Journal of Systems engineering and Electronics 2024年第5期35卷 1264-1275页

作者： KANG Kai CHENG Kai SHAO Tianhao ZHANG Hongjun ZHANG Ke Command and Control Engineering College Army Engineering University of PLANanjing 210000China The 63rd Research Institute of National University of Defense Technology Nanjing 210000China

A framework that integrates planning,monitoring and replanning techniques is *** can devise the best solution based on the current state according to specific objectives and properly deal with the influence of abnormity on the plan *** framework consists of three parts:the hierarchical task network(HTN)planner based on Monte Carlo tree search(MCTS),hybrid plan monitoring based on forward and backward and norm-based replanning method *** HTN planner based on MCTS selects the optimal method for HTN compound task through *** on specific objectives,it can identify the best solution to the current *** hybrid plan monitoring has the capability to detect the influence of abnormity on the effect of an executed action and the premise of an unexecuted action,thus trigger the *** norm-based replanning selection method can measure the difference between the expected state and the actual state,and then select the best replanning *** experimental results reveal that our method can effectively deal with the influence of abnormity on the implementation of the plan and achieve the target task in an optimal way.

关键词： hierarchical task network Monte carlo tree search(MCTS) planning execution abnormity

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A UAV Target State Estimation Method by Fusing Game Reasoning to Eliminate Negative Particles 3rd

A UAV Target State Estimation Method by Fusing Game Reasonin...

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3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining, MLCCIM 2024

作者： Han, Wei Yang, Guang Luo, Ling Dong, Jingwei Xu, Peng Sun, Xuefei Command and Control Engineering College Army Engineering University of PLA Nanjing210007 China

ISBN: (纸本)9789819624676

Aiming at Unmanned Aerial Vehicle (UAV) target state estimation, a dynamic space model between the electro-optical platform and the target is established, and a target state estimation method by fusing game reasoning is proposed. The payoff matrix is defined according to the game concept. Then, the proposed density distribution function of particle swarm is established, and the particle filter method is improved by fusing the game reasoning. The state of the moving target can be accurately estimated by the retained effective particles. Through simulation experiments, the validity of state estimation results of moving target under different moving trajectories is analyzed and verified. The research in this paper can meet the requirements of the current UAV velocity measurement of maneuvering targets in terms of real-time and reliability. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Unmanned aerial vehicles (UAV)

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PR-GNN: Enhancing PoC Report Recommendation with Graph Neural Network 40

PR-GNN: Enhancing PoC Report Recommendation with Graph Neura...

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40th IEEE International Conference on Data engineering, ICDE 2024

作者： Lu, Jiangtao Huang, Song College of Command and Control Engineering Army Engineering University of PLA Nanjing China

ISBN: (纸本)9798350317152

There has been a growing number of software supply chain vulnerabilities disclosed annually, posing increasingly formidable challenges to vulnerability validation. Timely validation plays a critical role in mitigating the security risks across the entire software supply chain. Whenever a new vulnerability is disclosed, it may be difficult to generate a corresponding PoC for verification in a short time. Expediting the validation process can be achieved through reference to similar PoC reports, potentially reducing this time. Retrieving similar PoC reports manually is labor-intensive and time-consuming due to their distributed nature across different data sources. Moreover, PoC reports encompass diverse trigger methods, including code, instruction, and action. There is a limitation in the current modeling of different types of trigger methods in PoC reports, as it mainly focuses only on code-based trigger methods while disregarding other types of trigger methods. To tackle the issues, this Ph.D. research uses graph-based method to model all types of PoC and proposes a PoC report recommendation model utilizing graph neural network (PR-GNN) to provide related PoC reports when facing a new vulnerability. In this work, a collection of heterogeneous PoC reports from various sources is assembled and modeled as PoC heterogeneous graphs. PR-GNN accurately measures similarity by incorporating graph-level embedding comparison and fine-grained comparison of trigger method type nodes. To our knowledge, this research represents the first attempt to provide more accurate and efficient recommendations for PoC reports to assist security professionals in timely vulnerability verification and maintaining software supply chain security. © 2024 IEEE.

关键词： Network security

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Investigating the Logical Capability of Graph Neural Networks via the Connection to C_(2)

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Data Intelligence 2024年第3期6卷 720-748页

作者： Zhangquan Zhou Shijiao Tang School of Command and Control Engineering Army Engineering University of PLA Nanjing 210001China School of Information Science and Engineering Nanjing Audit University Jinshen College Nanjing 210023China

Graph neural networks(GNNs)have garnered substantial application across a spectrum of real-world scenarios due to their remarkable ability to handle data organized in the form of ***,the full extent of GNNs'computational properties and logical capability remains a subject of ongoing *** study undertakes an exploration of the logical capabilities intrinsic to GNNs,approaching the matter from a theoretical *** this pursuit,a pivotal connection is established between GNNs and a specific fragment of first-order logic known as C_(2),which serves as a logical framework for modeling graph *** research further amplifies this discourse,introducing a subcategory of GNNs named ACR-GNN,illustrating that GNNs are capable of emulating the evaluation process of unary C,*** on these insights,we introduce an innovative version of GNN architectures capable of dealing with general C,*** attain this,we employ a mechanism known as message passing for GNN *** proposed GNN adaptations allow for simultaneous updating of node and node pair features,thereby enabling the management of both unary and binary C,*** prove that the proposed models exhibit the equivalent expressiveness to C_(2).This underpins the profound alignment between the logical capability of GNNs and the inherent nature of the logical language C,.We conduct several experiments on both of synthetic and real-world datasets to support our *** the experiments,we verify that our suggested models outperform both ACR-GNN and a commonly used model,GIN,when it comes to evaluating C,formulas.

关键词： Graph neural networks Logical capabilities C_(2)logical language

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Multipurpose Multilevel Multichannel Information Hiding for Web Pages

Journal of Network Intelligence

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Journal of Network Intelligence 2023年第1期8卷 275-295页

作者： Li, Lei Zhang, Hong-Jun Lu, Zhe-Ming Command and Control Engineering College Army Engineering University Nanjing210007 China School of Aeronautics and Astronautics Zhejiang University Hangzhou310027 China

Information hiding technology is a branch in the field of computer security technology. This technology is relatively mature in multimedia fields such as images, videos, audios, etc., and a large number of literatures have expounded related technologies. The file structure of the web page is composed of ordinary text files and various tags, and there is not much redundant information in this file structure, which makes it difficult to hide information into the web page file. The current research on web page information hiding technology is mainly based on the high error tolerance of HTML syntax and information hiding technology for web page tags. Most of these methods have the characteristics of insufficient watermark embedding capacity and poor robustness. In this paper, we propose a Multipurpose Multilevel Multichannel Information Hiding framework for web pages. In our framework, we design seven embedding algorithms for Web pages and we can achieve multiple purposes by using four-level independent watermark embedding in multiple channels of a Web page. Experimental results demonstrate the effectiveness of the proposed seven methods. © 2023 Lei Li, Hong-Jun Zhang.

关键词： Websites

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SDN-based Connectivity Restoration for Partitioned Flying Ad hoc Networks 9

SDN-based Connectivity Restoration for Partitioned Flying Ad...

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9th International Conference on Computer and Communications, ICCC 2023

作者： Liu, Yaqun Xie, Jun Luo, Xijian He, Yuan Army Engineering University of Pla College of Command and Control Engineering Nanjing China

ISBN: (纸本)9798350317251

Due to possible failure of unmanned aerial vehicles (UAVs), a connected flying ad hoc network (FANET) may be divided into multiple sub-networks. In this case, the FANET connectivity should be restored in a short time and at a low cost. In this paper, we investigate the FANET connectivity restoration when a FANET is split. Firstly, in order to restore the FANET connectivity in a centralized manner, we propose a software-defined networking (SDN)-based FANET architecture. The process of FANET connectivity restoration is designed based on this architecture. Secondly, we propose a UAV scheduling algorithm based on greedy idea to calculate the position to which each mission UAV needs to move, so that the FANET connectivity can be restored through mission UAV movement. This algorithm should be invoked by the SDN controller. Numerical results show that our approach can restore the FANET connectivity with a lower total movement distance and a lower maximum movement distance than three other baselines. © 2023 IEEE.

关键词： Software defined networking

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Deep Hashing Retrieval of Dynamic Corpora 8

Deep Hashing Retrieval of Dynamic Corpora

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8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023

作者： Zou, Ao Hao, Wenning Shao, Tianhao Zhang, Ke Shen, Qiuhui Army Engineering University of Pla College of Command & Control Engineering Nanjing China

ISBN: (纸本)9798350302455

Knowledge-intensive language applications, like open-domain question answering, call for NLP systems to retrieve related evidence in a document collection. A efficient and scalable retrieval system is an ideal component in these applications. Up-to-data research developed sequence-to-sequence framework on this task, eschewing any format of term-frequency or query-document similarity calculation. This line of work greatly improved the efficient of retrieval but with the sacrifice of scalablity. This work proposes a new framework based on the seq2seq architecture, which can solve scalability issues that exist in such methods. Experimental results on the public dataset Natural Question demonstrate the effectiveness of this approach. © 2023 IEEE.

关键词： Scalability

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Direction-of-Arrival Estimation Based on the Moving Array With/Without Model Mismatch 7

Direction-of-Arrival Estimation Based on the Moving Array Wi...

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7th IEEE Information Technology, Networking, Electronic and Automation control Conference, ITNEC 2024

作者： Wu, Shaozhuang Su, Qiao Bai, Lu Yang, Sihang Yang, Chen Ma, Zhiqing College of Communications Engineering Army Engineering University of Pla China College of Command and Control Engineering Army Engineering University of Pla Nanjing210007 China

ISBN: (纸本)9798350370782

This paper proposes the Direction-of-Arrival (DOA) estimation algorithms based on the moving array with and without model mismatch. Firstly, without model mismatch, dividing the uniform linear subarray extracted from the extended model based on the moving array into two parts, two selected receive signal vectors are obtained. By calculating the auto-covariance matrix and the cross-covariance matrix of these receive signal vectors, the DOAs can be estimated though eigenvalue decomposition. As for the model mismatch case, another receive signal vector can be gotten by introducing more delays, then, the DOAs can be obtained similarly with the proposed algorithm without model mismatch. Simulation results testify the effectiveness of the proposed algorithms, and provide the suggestions of the scope of application of two proposed algorithms. © 2024 IEEE.

关键词： Covariance matrix

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Android-Based Binary Code Function Fast Positioning Technology 3

Android-Based Binary Code Function Fast Positioning Technolo...

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3rd IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2023

作者： Guan, Xingyi Zhao, Min Army Engineering University of Pla Command and Control Engineering College Nanjing China

ISBN: (纸本)9781665490788

To solve the problem that the existing Android reverse analysis method is inefficient and the applicable scenario is single. A fast positioning technology for binary code function based on Android is proposed in this paper, which includes preprocessing, behavior analysis combining dynamic and static, and binary code function comparison, which can accurately and quickly locate the location of binary code function. Based on this research, to further broaden the application scenarios of the fast positioning technology proposed in this paper and realize the automatic analysis of large-scale applications, an automated analysis tool AndPosit is designed. The proposed technology has been experimentally verified that it can be widely used in various Android applications, can accurately locate the target function code, and the efficiency is more than dozens of times higher than the original manual analysis method. © 2023 IEEE.

关键词： Binary codes

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