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GPU-based real-time estimation of phase and delay of PCAL signal 2

GPU-based real-time estimation of phase and delay of PCAL si...

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2nd IEEE international conference on signal, Information and Data processing, ICSIDP 2024

作者： Li, Xue Jian Ma, Hong Jiao, Yi Wen Wang, Yu Xin Song, Yu Ke Feng, Hao Chen, Qi Min Space Engineering University Key Laboratory of Intelligent Space Ttc&o Department of Electronic and Optical Engineering Beijing China

ISBN: (纸本)9798331515669

In order to meet the requirement of high-efficiency phase delay estimation of PCAL signal in the digital baseband converter (DBBC) equipment link for deep space measurement and control, we propose a GPU-based PCAL signal phase delay estimation method with parallel computing technology, combining the method with FFT and FFT to solve the problem of low computational efficiency in the traditional PCAL signal phase delay estimation method based on the fast Fourier transform (FFT), and then propose a graphics processing unit(GPU)-based PCAL signal phase delay estimation method with parallel computing technology. Firstly, to address the problem of low computational efficiency in the traditional fast Fourier transform (FFT)-based phase delay estimation of PCAL signals, a GPU-based phase delay estimation method for PCAL signals is proposed by combining this method with parallel computing technology. Experimental validation of the method is carried out, and a large number of experimental results show that the GPU-based PCAL signal phase delay estimation method improves the acceleration ratio by at least one order of magnitude, and realizes the real-time estimation of the phase delay of PCAL signals with bandwidths of 32 MHz or less, signal intervals of 1 MHz, and quantization bit number of 8 bit. In addition, the designed real-time system is also applicable to the link calibration of other inverter devices. © 2024 IEEE.

关键词： Graphics processing unit

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Ultra-Rapid Satellite Clock Offset Boundary Jumps Compensation Method Based on Dynamic Adaptive Weighting 2

Ultra-Rapid Satellite Clock Offset Boundary Jumps Compensati...

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2nd IEEE international conference on signal, Information and Data processing, ICSIDP 2024

作者： Zhao, Lin Wei, Jialong Li, Hui Liu, Xue Harbin Engineering University Collegf of Intelligent Systems Science and Engineering Harbin China

ISBN: (纸本)9798331515669

The traditional ultra-rapid satellite clock offset boundary jumps compensation method based on epoch-differenced suffers from error accumulation, which reduces the accuracy of satellite clock offset. In this paper a new compensation method based on dynamic adaptive weighting is proposed. The method makes full use of ultra-rapid satellite clock offset data from adjacent observation window. Calculate prior weights based on satellite offset dynamic characteristics, obtain satellite posterior residual through batch estimation, and compensate the satellite clock offset boundary jumps. The ultra-rapid satellite clock offset products updated 1-hour provided by WHU from DOY 060-062 in 2024 are used to verify the performance of the proposed method. The results show that, contrasted with the traditional compensation method based on epoch-differenced, the accuracy of the satellite clock offset is improved by 36.2%. In addition, the RMS and STD accuracy of PPP are improved by 13.2% and 26.2% within two hours before and after the observation window boundaries, respectively. © 2024 IEEE.

关键词： Atomic clocks

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Energy Efficiency Optimization in Massive MIMO systems with Low-Resolution ADCs 2

Energy Efficiency Optimization in Massive MIMO Systems with ...

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2nd international conference on Multidisciplinary Engineering and Applied Science, ICMEAS 2023

作者： Musa, Abdulwaheed Adebayo, Abdullateef Ola Peace Balogun, Oluwasijibomi Kwara State University Department of Electrical and Computer Engineering Malete Nigeria Kwara State University Centre for Artificial Intelligence and Machine Learning Systems Malete Nigeria University of Johannesburg Institute for Intelligent Systems South Africa

ISBN: (纸本)9798350358834

Massive multiple-input multiple-output (MIMO) is a promising 5G technology, but the high energy consumption from numerous radio components is a key challenge. Prior work has explored higher than 4-bit ADCs, but very low 1-2 bit remain uninvestigated. This paper provides an in-depth examination of the resolution versus power savings and signal quality degradation trade-offs with 1-3-bit analog-to-digital converters (ADCs) in Massive MIMO systems. Mathematical modeling and simulations quantify the exponential reduction in power consumption along with losses in key performance metrics like signal-to-interference-plus-noise ratio (SINR), throughput, and spectral efficiency with lower ADC resolutions stemming from increased quantization noise. Advanced linear detection techniques are shown to effectively recover the signal quality degradation. The analysis provides valuable insights on jointly optimizing ADC configuration and signal processing to maximize overall system efficiency. Energy savings of over 50% are demonstrated with 1-bit ADCs along with the ability to maintain acceptable performance metrics using linear detectors. The practical implementation feasibility is also discussed. This work enables ultra-low-resolution ADC deployments in energy-efficient Massive MIMO systems. © 2023 IEEE.

关键词： Energy efficiency

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An Optimized Round Robin Central processing Unit Scheduling Algorithm with Dynamic Time Quantum 2

An Optimized Round Robin Central Processing Unit Scheduling ...

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2nd international conference on Smart Technologies for Smart Nation, SmartTechCon 2023

作者： Nayak, Smitha Sharma, Yogesh Kumar Nayak, Ritvik Department of Computer Science Muscat College Muscat Oman Department of Computer Science & Engineering Andhra Pradesh India Department of Computer Science & Engineering MIT Manipal India

ISBN: (纸本)9798350305418

Traffic signals ensure safe driving and regulated flow of traffic at road intersections. With increasing number of cars on the roads, it has become very essential to regulate traffic so that mobility of people residing in Oman is much smoother. controlling road traffic has been a very challenging task especially at the intersections. Conventionally traffic signal control systems are scheduled in such a way that the vehicles at an intersection move in a fixed pre-timed slot manner. This fixed pre-timed controller approach fails to minimize the waiting time of vehicles at the traffic intersections as it does not sense the queue size of vehicles at the traffic signal. Many a times the traffic flow is not uniform, sometimes traffic is more from a particular direction or probably an accident has occurred in that lane which leads to increasing size of the queue and also the waiting time for people in that lane of intersecting road. In such cases it is often seen The Royal Oman Police (ROP) taking over the traffic signals and controlling the flow of traffic for smooth flow of traffic. To overcome this problem an adaptive and intelligent traffic signal control system is proposed in such a way that a traffic signal controller is installed with a wireless sensor which works on the basis of checking the queue size of vehicles in a particular lane and switches to green or stays in green for longer duration for that lane. It also sends an alert to the telecom companies and the radio channels in Oman to inform the slow moving traffic news to the people of Oman. © 2023 IEEE.

关键词： Apache Tomcat dynamic quantum localized sensors microcontrollers Priority Scheduling REST web service Round Robin RTOS Scheduling

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Intrusion Detection and Prevention at the End-User Level in Smart Grid Cyber-Physical systems 2

Intrusion Detection and Prevention at the End-User Level in ...

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2nd IEEE international conference on Innovations in High-Speed Communication and signal processing, IHCSP 2024

作者： Balaji, N.V. Mittal, Sachin Senthilkumar, K.K. Sood, Gourav Manjunatha, R. Wankhede, D.S. Karpagam Academy of Higher Education Department of Computer Science Coimbatore 641021 India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura 140417 India Prince Shri Venkateshwara Padmavathy Engineering College Department of Ece Chennai 127 India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India Jain (Deemed to be University) School of Sciences Karnataka Bangalore India Vishwakarma Institute of Technology Pune India

ISBN: (纸本)9798350368949

In order to keep the electric power system running smoothly and reliably, it is constantly monitored and controlled by an intelligent cyber layer that consists of data processing algorithms and a wide network of sensors. Cyberattacks on this data processing and collecting system might halt operations and have catastrophic physical consequences like system breakdowns. A common kind of attack is the FDIA. To avoid detection by the state estimator's inherent anomaly detection capabilities, an attacker tries to trick the grid's underlying control system into producing disturbances. On top of that, there are major issues with customer-end security. For instance, criminals might intercept, alter, or replay wireless transmissions of power consumption signals sent by consumers to their utility provider. Consequently, smart grid security and privacy are major apprehensions. In order to prevent cyberattacks on the vital infrastructures of the electrical system, this thesis helps. New detection systems for the generating and transmission side, as well as the end-user customer side infrastructure, are the primary focus of the study. To protect the generating and transmission sides from cyber-attack, we provide a system based on intelligent sensor weights and an optimization strategy based on sophisticated grey wolves. In addition, to safeguard end-user customer data from cyberattacks, we provide a gaussian mixture model-based privacy protection strategy and an artificial neural structure-based intelligent loop detection method. © 2024 IEEE.

关键词： AMI CI Cyber-security DAP DPC and Smart-Grid EPPS FDIA GMM

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A Distributed Radar Multi-Jamming Recognition Method Based on Transformer Network 2

A Distributed Radar Multi-Jamming Recognition Method Based o...

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2nd IEEE international conference on signal, Information and Data processing, ICSIDP 2024

作者： Li, Renjie Hu, Zijun Tian, Dezhi He, Pufeng Liang, Zhennan Liu, Quanhua Beijing Institute of Technology Key Laboratory of Electronic and Information Technology in Satellite Navigation Beijing China Intelligent Science and Technology Academy Casic Beijing China Chongqing Innovation Center Beijing Institute of Technology Chongqing China

ISBN: (纸本)9798331515669

With the advancement of deception jamming and multi-radar cooperative anti-jamming technologies, multi-radar systems designed to counter multiple jammers have become a research hotspot, with jamming recognition being a critical step. In recent years, deep learning has been successfully applied to radar jamming recognition, where the jamming signal is transformed into a time-frequency map and subsequently treated as an image recognition problem. However, the performance of jamming recognition algorithms deteriorates significantly when multiple jamming signals overlap in the time-frequency domain. To address this issue, this paper proposes a distributed radar multi-jamming recognition method based on a Transformer network. This method employs adaptive beamforming to separate jamming echoes in the spatial domain, and then converts the jamming echoes from each radar node into time-frequency spectrograms using the short-time Fourier transform. These spectrograms are then input into the Transformer network to detect the type of jamming and estimate jamming parameters based on their relative positions in the time-frequency spectrograms. Finally, the multi-node processing results are fused to output the jamming type and the corresponding fused jamming parameters. Simulation experiments verify the effectiveness of the proposed algorithm. © 2024 IEEE.

关键词： Frequency domain analysis

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Joint Secure Transmit Beamforming Designs for Physical Layer Security in MIMO-ISAC System 2

Joint Secure Transmit Beamforming Designs for Physical Layer...

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2nd IEEE international conference on signal, Information and Data processing, ICSIDP 2024

作者： Guo, Sitong Zheng, Hao Zhang, Yinghui Yan, Junkun Inner Mongolia University College of Electronic Information Engineering Hohhot China Inner Mongolia University Inner Mongolia Key Laboratory of Intelligent Communication and Sensing and Signal Processing Hohhot China Xidian University National Key Laboratory of Radar Signal Processing Xian China

ISBN: (纸本)9798331515669

This article concentrates on the physical layer security (PLS) towards an integrated sensing and communication (ISAC) system, which communicates with legitimate communication users (CUs) and detects the single sensing target, which is considered to be eavesdropper because it might intercept the transmitting message from the base station to CUs. The joint transmitting beamforming for secure communication and sensing is designed to maximize the sum secrecy rate (SR) of system under the constraints of quality-of-service of CUs, the signal-to-Noise Ratio (SNR) of sensing and the power budget of the system. The optimal solution is obtained by the semidefinite relaxation and successive convex approximation algorithms. The availability of the beamforming design in ensuring the SR of the ISAC system is showed by Simulation results. © 2024 IEEE.

关键词： Budget control

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Decision Tree Algorithm for intelligent Resource Management in Wireless Networks 2

Decision Tree Algorithm for Intelligent Resource Management ...

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2nd international conference on Augmented Intelligence and Sustainable systems, ICAISS 2023

作者： Anitha, P. Ranganathan, Chitra Sabapathy Babiyola, A. Jafersadhiq, A. Sri Sai Ranganathan Engineering College Department of Electronics and Communication Engineering Tamil Nadu Coimbatore India Mphasis Corporation ChandlerAZ United States Meenakshi Sundararajan Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India Kalasalingam Academy of Research and Education Kalasalingam Business School Department of Business Administration Tamil Nadu Srivilliputhur India

ISBN: (纸本)9798350325799

A wireless network is a distributed network made up of a number of nodes. The battery life, communication range, bandwidth, processing delay, and memory of nodes are constrained. Utilizing wireless network resources effectively is difficult if you want to extend network life, boost throughput, reduce computation time, and reduce control overheads. By using intelligent resource management methods, a number of solutions are suggested to increase performance. Resource allocation, scheduling, and discovery are all important components of efficient and intelligent resource management in wireless networks. This paper presents a Decision tree algorithm for Internet of Things (IoT) resource allotment and balances for the Wireless network load (DTRB). Various variables, including memory, CPU, disk, and network bandwidth, influence the load-balancing process. This approach using the Gini index criteria is much quicker than entropy, and information gain correlation approaches since it requires less computer power. © 2023 IEEE.

关键词： Resource allocation

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An Army Ant Algorithm-Based Sparse Design Method for intelligent Reflecting Surfaces 2

An Army Ant Algorithm-Based Sparse Design Method for Intelli...

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2nd international conference on the Frontiers of intelligent control, Measurement, and signal systems, FICMSS 2025

作者： Zhang, Wei Gao, Hongyuan Li, Biao Sun, Xitao College of Information and Communication Engineering Harbin Engineering University Harbin China Chinaunicom Harbin Software Research Institute China

The purpose of this paper is to propose an effective sparse design scheme for intelligent Reflecting Surfaces (IRS) that can significantly reduce the number of reflective units while maintaining the performance of the IRS. This is achieved through the use of a swarm intelligence optimization algorithm that automatically optimizes the layout of reflective units, seeking the optimal configuration of these units. To better address the sparse design challenge of IRS, this study introduces a novel Army Ant Algorithm (AAA). The AAA leverages the mechanism by which army ants influence each other during food foraging by releasing pheromones. In this algorithm, pheromone levels are measured at each node, and the positions of the army ants are iteratively updated to find the optimal or near-optimal *** results demonstrate that the proposed sparse design scheme based on the Army Ant Algorithm exhibits superior global search capability and higher convergence precision. This approach effectively reduces the number of reflective units required while ensuring that the performance of the intelligent reflecting surface is not compromised. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Design

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Development of Innovative Algorithm for Sound Detection Based on FFT and Goertzel Algorithms 2

Development of Innovative Algorithm for Sound Detection Base...

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2nd international conference on intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024

作者： Senthil Kumar, S. Umaeswari, P. Veera Jyothi, B. Gnana King, G.R. Patil, Trupti Gukendran, R. R.M.K College of Engineering and Technology Department of Mechanical Engineering Tamil Nadu Chennai India R. M. K. Engineering College Department of Computer Science and Business Systems Kavaraipettai601206 India Chaitanya Bharathi Institute of Technology Department of Information Technology Hyderabad500075 India Sahrdaya College of Engineering and Technology Department of Electronics and Communication Engineering Kerala Thrissur680684 India Bharati Vidyapeeth Deemed to Be University Department of Engineering and Technology Maharashtra Navi Mumbai India Kongu Engineering College Department of Mechanical Engineering Perundurai India

ISBN: (纸本)9798350327533

The field of sound detection and analysis has witnessed remarkable advancements in recent years, driven by the increasing demand for applications such as speech recognition, environmental monitoring, and acoustic event detection. This work presents the development of an innovative algorithm for sound detection, leveraging the power of the Fast Fourier Transform (FFT) and Goertzel algorithms. The proposed algorithm combines the strengths of both the FFT and Goertzel algorithms to enhance the accuracy and efficiency of sound detection. The FFT is employed for its rapid transformation of time-domain audio signals into the frequency domain, providing valuable insights into the spectral characteristics of the input signal. Simultaneously, the Goertzel algorithm is applied to identify specific target frequencies with high precision and minimal computational overhead. This innovative approach addresses the limitations commonly associated with conventional sound detection algorithms, such as those relying solely on FFT or Goertzel. By harnessing the FFT's spectral analysis capabilities and the Goertzel algorithm's fine-grained frequency detection, the algorithm can effectively detect and classify sound events in various real-world scenarios. © 2024 IEEE.

关键词： FFT (Fast Fourier Transform) Goertzel algorithm signal processing Sound detection Spectral analysis

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