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Energy-Efficient Trajectory Design and Unsupervised Clustering for UAV-Aided Fair Data Collections with Dense Ground Users

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IEEE Internet of Things Journal 2025年

作者： Song, Dan Zhai, Xiangping Bryce Liu, Xin Liu, Zhiquan Tan, Chee Wei Li, Congduan Sun Yat-sen University School of Electronics and Communication Engineering Shenzhen 518107 China Huangpu Customs District P.R.China Guangdong Provincial Key Laboratory of Intelligent Port Security Inspection Guangzhou 510700 China Nanjing University of Aeronautics and Astronautics College of Computer Science and Technology Nanjing 211106 China Dalian University of Technology School of Information and Communication Engineering Dalian 116024 China 54th Research Institute of CECT Shijiazhuang 050081 China Jinan University College of Cyber Security Guangzhou 510632 China Nanyang Technological University Nanyang Ave Singapore Singapore

In remote or high-demand wireless cellular networks, efficient data collection from ground users (GUs) with fixed infrastructure poses a significant challenge. Unmanned aerial vehicles (UAVs) have emerged as a promising solution due to their flexible deployment and cost-effectiveness. This paper focuses on a UAV-aided wireless cellular communication system comprising a UAV and multiple adjacent GUs, where the mission of the UAV is to collect data from these GUs. The objective is to minimize UAV propulsion energy consumption while ensuring fair data uploading among all GUs. Due to the non-convex and intractable nature of the above problem, we propose a novel real-time waypoint localization method based on the parallel projection method from a geometric perspective. By enhancing the projection process, this approach achieves energy-efficient and fair data collection, along with an efficient trajectory design algorithm. Further, considering the scenario of densely distributed GUs in large-scale areas, a GU-clustering algorithm is proposed based on Mean Shift. Additionally, this paper categorizes GUs into homogeneous and heterogeneous scenarios and designs distinct trajectory designing algorithms to accommodate diverse real-world situations. Simulations and comparisons validate the effectiveness and efficiency of the proposed algorithms in tackling the UAV trajectory design challenges. © 2014 IEEE.

关键词： mean shift algorithm projection algorithms trajectory design Unmanned aerial vehicle (UAV) unsupervised clustering

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Low-cost design of stealthy hardware trojan for bit-level fault attacks on block ciphers

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science China(information sciences) 2017年第4期60卷 235-237页

作者： Fan ZHANG Xinjie ZHAO Wei HE Shivam BHASIN Shize GUO College of Information Science and Electrical Engineering Zhejiang University Science and Technology on Communication Security Laboratory Institute of North Electronic Equipment Temasek Laboratories Nanyang Technological University

Fault analysis is a very powerful technique to break cryptographic *** particular,bitlevel fault analysis(BLFA),where faults are injected by flipping one or a few isolated bits,are among the most efficient of the *** requires both precise fault injection capabilities and sophisticated key extraction *** fault analysis(AFA)[1]is a good analysis technique for *** with differential fault analysis(DFA),AFA relies on the automation from machine *** it fully utilizes the leakages

关键词： Low-cost design of stealthy hardware trojan for bit-level fault attacks on block ciphers HTH

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Transistor level SCA-resistant scheme based on fluctuating power logic

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science China(information sciences) 2017年第10期60卷 270-272页

作者： Liang GENG Fan ZHANG Jizhong SHEN Wei HE Shivam BHASIN Xinjie ZHAO Shize GUO College of Information Science and Electronic Engineering Zhejiang University Science and Technology on Communication Security Laboratory Temasek Laboratories Nanyang Technological University The Institute of North Electronic Equipment

Dear editor,The main objective of side-channel analysis(SCA)is to extract the secret key using physical leakages from underlying fundamental logic *** analysis(PA)is one type of SCA,such as simple power analysis(SPA),... 详细信息

关键词： SCA Transistor level SCA-resistant scheme based on fluctuating power logic

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Minimum dispersion beamforming using modified conjugate gradient method

Minimum dispersion beamforming using modified conjugate grad...

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2021 International Conference on Electronic information Engineering and Computer communication, EIECC 2021

作者： Song, Jinyang Wang, Wei Chen, Yan Science and Technology on Communication Information Security Control Laboratory China Cetc 36 Zhejiang Jiaxing China

ISBN: (数字)9781510653207

ISBN: (纸本)9781510653191

In order to solve linear constraint minimize dispersion problem in beamforming with non-Gaussian signals or noise, this paper proposed a real time adaptive beamforming technique based on modified conjugate gradient (MCG) method. Compared to conventional adaptive method, MCG have faster convergence rate than stochastic gradient (SG) method, and comparable convergence rate with recursive least square (RLS) method with lower complexity. And it simplifies the procedure of conjugate gradient method with one iteration per snapshots by using inexact line search scheme. Simulation has demonstrated the superior performance in output SINR and its convergence rate. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Beamforming

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5G Ultra-Dense Network Fingerprint Positioning Method Based on Matrix Completion

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China communications 2023年第3期20卷 105-118页

作者： Yuexia Zhang Chong Liu Key Laboratory of Information and Communication Systems Ministry of Information IndustryBeijing Information Science and Technology UniversityBeijing 100101China Key Laboratory of Modern Measurement and Control Technology Ministry of EducationBeijing Information Science and Technology UniversityBeijing 100101China

The problem of high-precision indoor positioning in the 5G era has attracted more and more attention.A fingerprint location method based on matrix completion(MC-FPL)is proposed for 5G ultradense networks to overcome the high costs of traditional fingerprint database construction and matching ***,a partial fingerprint database constructed and the accelerated proximal gradient algorithm is used to fill the partial fingerprint database to construct a full fingerprint ***,a fingerprint database division method based on the strongest received signal strength indicator is proposed,which divides the original fingerprint database into several sub-fingerprint ***,a classification weighted K-nearest neighbor fingerprint matching algorithm is *** estimated coordinates of the point to be located can be obtained by fingerprint matching in a sub-fingerprint *** simulation results show that the MC-FPL algorithm can reduce the complexity of database construction and fingerprint matching and has higher positioning accuracy compared with the traditional fingerprint algorithm.

关键词： indoor positioning fingerprint matching matrix completion 5G UDN RSSI

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High Precision Translational Compensation for Ultrahigh Resolution ISAR 13

High Precision Translational Compensation for Ultrahigh Reso...

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13th International Symposium on Antennas, Propagation and EM Theory, ISAPE 2021

作者： Yang, Lichao Science and Technology on Communication Information Security Control Laboratory No. 36 Research Institute of CETC China

ISBN: (纸本)9781665418126

In recent years, due to the emergence of ultrahigh resolution (UHR) radar systems, the bandwidth of radar has been increasing. However, conventional imaging algorithms have difficulties in the translational compensation of UHR inverse synthetic aperture radar (ISAR) data with high order range cell migration (RCM) and phase error. In this paper, a high-precision translational compensation method based on power flatness optimization (PFO) is proposed. The algorithm constructs the optimal criterion of power flatness and ensure the complete extraction of the prominent point energy. Then, the original data is compensated in the two-dimensional data domain through the prominent point phase inversion matrix. The results show that the proposed algorithm has significantly improved accuracy in the translational compensation of ultrahigh-resolution ISAR imaging compared with traditional algorithms. © 2021 IEEE.

关键词： Inverse synthetic aperture radar

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A robust TDOA based solution for source location using mixed Huber loss

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Journal of Systems Engineering and Electronics 2021年第6期32卷 1375-1380页

作者： YOU Mingyi LU Annan Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of China Elec-tronics Technology Group CorporationJiaxing 314033China No.36 Research Institute of China Electronics Technology Group Corporation Jiaxing 314033China

This paper proposes a source localization solution robust to measurement outliers in time differences of arrivals(TDOA)*** solution uses a piecewise loss function named as mixed Huber loss(MHL)proposed based on the classical Huber loss(HL)and its refined *** MHL is able to effectively mitigate the impact of all levels of measurement outliers by setting two triggering *** practice,appropriate triggering threshold values can be obtained through simulation given the level of measurement noise and a rough range of potential measurement outliers.A clustering based approach is proposed to further improve the robustness of localization solution against reference sensor related *** are included to examine the solution's performance and compare it with several *** proposed MHL based solution is shown to be superior to the classical solution and the *** solution is shown to be even robust to multiple measurement ***,the influence of range measurement outliers in the reference sensor can be effectively mitigated by the clustering based approach.

关键词： time differences of arrivals(TDOA) robust localization Huber loss(HL) outlier mitigation

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Target-Before-Detect Algorithm for Passive MIMO Radar Based on Improved Particle Filter

Target-Before-Detect Algorithm for Passive MIMO Radar Based ...

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2022 Global Conference on Robotics, Artificial Intelligence and information technology, GCRAIT 2022

作者： Zhou, Yawen Zhu, Jiawei Song, Tingsong Yao, Siyi Lai, Rui Guo, Yuning School of Electronic Science and Technology University Chengdu China Information Security Control Laboratory Science and Technology on Communication Jiaxing China

ISBN: (数字)9781665481922

ISBN: (纸本)9781665481922

In order to improve the target detection performance of passive multiple-input-multiple-output (PMR) radar system, a Target-Before-Detect (TBD) algorithm based on improved particle filter is proposed in this paper. As a classical TBD algorithm, particle filter algorithm can realize the gain accumulation of target signal in time domain and effectively improve the performance of target detection. Although this algorithm has performed well in passive single-input-single-output (SISO) radar (PSR) systems, it cannot be directly applied to PMR systems. Therefore, an improved particle filtering algorithm based on passive MIMO radar is proposed in this paper. This method takes advantage of the PMR spatial accumulation and proposes a novel particle weight calculation method, which uses the false alarm probability distribution of detector to calculate the weight of the particle, so as to obtain the gain accumulation of the target in time and space. The simulation results show that the detection probability of the proposed algorithm can reach 90% even when the target-path signal-To-noise ratio (SNR) is low. Meanwhile, the good detection performance of the proposed algorithm is verified by comparing with the single frame detection results. © 2022 IEEE.

关键词： Probability distributions

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Timing and carrier synchronization algorithm of MQAM signal

Timing and carrier synchronization algorithm of MQAM signal

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2021 International Conference on Signal Image Processing and communication, ICSIPC 2021

作者： Zhou, Huaji Yang, Lifeng Lei, Yingke Science and Technology on Communication Information Security Control Laboratory Jiaxing China National University of Defense Technology Hefei China

ISBN: (数字)9781510645417

ISBN: (纸本)9781510645400

This paper is focused on the synchronization algorithm of the blind demodulation in the case of unknown any prior information, which is aiming to meet the requirement of blind demodulation of MQAM signal when non-cooperative communication. After the signal passes through the Gaussian channel, in order to correct the time offset, the Gardner timing loop based on the FIR pre-filtering of self-noise reduction is studied and the carrier synchronization loop based on PD algorithm and DD algorithm switching principle is aiming to correct the phase offset. Through the simulation signal respectively on the timing and carrier loop simulation, the results show that the design Loop synchronization effect is good, in the project has a greater application value. © 2021 SPIE.

关键词： Demodulation

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Research on Multi - Target Data Association and Location Algorithm Based on Passive Multi - Sensor System 18

Research on Multi - Target Data Association and Location Alg...

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18th International Computer Conference on Wavelet Active Media technology and information Processing, ICCWAMTIP 2021

作者： Siyi, Yao Jianliang, Xu Weiguo, Shen Li, Wang Wanchun, Li School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China

ISBN: (纸本)9781665413640

In this paper, the multi-target positioning research is carried out on the basis of a passive multi-sensor reconnaissance system, which requires an algorithm to solve the problem of multi-target data association and positioning in the presence of false alarms and missed detections (also named non-ideal). This paper proposes a new data association and localization algorithm. This new algorithm adopts the method of hierarchical association of data, achieves data association through coarse association and fine association, and finally deletes redundant targets through backtracking. The simulation results show the effectiveness and stability of the algorithm. © 2021 IEEE.

关键词： Data association Multi-target Non-ideal Passive multi-sensor

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