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检索条件"主题词=Signal Processing Algorithms"

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Research on Software Radio signal processing Technology Based on FPGA for OpenWifi

Research on Software Radio Signal Processing Technology Base...

引用

International Conference on Electronics and Information Technology (EIT)

作者： Zhiguang Lei Xin’An Qiu Zhiyong Lei Zhijun Lei Lanzhou Institute of Physics Lanzhou China Beijing Racobit Electronic Information Technology Co.Ltd. Beijing China China Electronics Technology Group Corporation 58th Research Institute Wuxi China

ISBN: (数字)9798350369151

ISBN: (纸本)9798350369168

To enhance the real-time performance and efficiency of radio signal processing, this paper takes OpenWifi as an example to explore the application of FPGA technology in communication systems. By implementing key signal processing functions such as signal demodulation, encoding, and filtering, the results show that FPGA's low latency and high configurability significantly improve processing performance. Additionally, optimized resource allocation and algorithm adjustments further enhance system data throughput and stability, demonstrating the potential of FPGA technology in modern wireless communication.

关键词： Wireless communication Technological innovation Filtering signal processing algorithms Throughput Real-time systems Encoding Resource management Field programmable gate arrays Demodulation

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Block-Term Tensor Decomposition in Array signal processing: Uniform Rectangular Arrays

Block-Term Tensor Decomposition in Array Signal Processing: ...

引用

European signal processing Conference (EUSIPCO)

作者： Eleftherios Kofidis Dept of Statistics and Insurance Science University of Piraeus Piraeus Greece

ISBN: (数字)9789464593617

ISBN: (纸本)9798331519773

Tensor-based methods have attracted significant interest also in array signal processing (ASP) given the inherently multi-dimensional nature of the problems involved therein. The ability of tensor decomposition (TD)-based techniques to recover latent information, including channel parameters and transmitted symbols in the ASP context, in a deterministic manner and with little or no training overhead fits well with the data efficiency needs of future-generation multi-user massive multiple-input multiple-output (MU-mMIMO) systems. They have mostly relied, however, on a few classical TD models, notably canonical polyadic decomposition (CPD). In this paper, a generalized CPD model, known as block-term decomposition (BTD), which has been increasingly adopted in a wide range of applications, is re-visited in the context of ASP, and shown to be the natural choice in sensor arrays of increased dimensionality and channel multipath. Semi-blind joint channel estimation/data detection (JCD) is addressed in the special but important case of the uniform rectangular array (URA), via efficient algorithms that wed existing JCD schemes with BTD approximation. Their performance, at various noise levels, array sizes, and numbers of users and paths, is evaluated via simulation results and favorably compared with that of the training-only-based solution.

关键词： Training Tensors Array signal processing Simulation Symbols signal processing algorithms Parallel processing MIMO communication Sensor arrays Noise level

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Research on Weak signal processing Methods for Electrical Imaging Logging Tools

Research on Weak Signal Processing Methods for Electrical Im...

引用

Semiconductor and Electronic Technology (ISSET), International Symposium on

作者： Fenfen Yang Yi Gao School of Electronic Engineering Xi’ an Shiyou University Xi'an China

ISBN: (数字)9798350390285

ISBN: (纸本)9798350390292

Using the actual formation resistivity and porosity spectrum information, the electroimaging tool can quickly estimate the oil content of complex reservoirs, and can recognize the sedimentary structure and micro-cracks in tight oil and gas reservoirs by improving the measurement accuracy of the instrument. For electrical imaging logging, improving the detection accuracy of weak signals is a necessary condition for enhancing the quality of logging data, improving imaging resolution, and making imaging clearer. In response to the problem that current processing algorithms for electrical imaging logging signals cannot guarantee complete signal information while denoising, this paper establishes a logging noise signal analysis model based on the characteristics of logging signals, and uses wavelet transform and three adaptive LMS filtering algorithms to process the model. Simulation experiments on MATLAB show that the maximum mean square error of the adaptive LMS algorithm is greatly reduced than that of the wavelet method, which shows that the method has better filtering performance. Among the three adaptive LMS algorithms, the $1/2\text{LMS}$ algorithm has the fastest running speed and the lowest MSE value, making it the most suitable for measuring weak signals underground.

关键词： Wavelet transforms Analytical models Adaptation models Oils Noise reduction signal processing algorithms Imaging Filtering algorithms Reservoirs Mathematical models

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Design and Performance Analysis of Communication signal processing Algorithm Based on Cognitive Radio

Design and Performance Analysis of Communication Signal Proc...

引用

Power, Electrical Engineering, Electronics and Control (PEEEC), International Conference on

作者： Shiyuan Han Feilong Qin Hongjin Zhu School of Automation and Information Engineering Xi’an University of Technology Xi’an Shaanxi China School of Big Data and Artificial Intelligence Chengdu Technological University Chengdu Sichuan China

ISBN: (数字)9798350378917

ISBN: (纸本)9798350378924

This article aims to propose an effective solution to the problem of signal anomaly identification in wireless communication networks. Therefore, a communication signal processing algorithm based on Cognitive Radio (CR) is designed and implemented, and it is optimized with Differential Evolution (DE) algorithm to improve the recognition accuracy and data recovery ability of abnormal signals. The effectiveness and superiority of this method are verified by collecting a large number of wireless communication network signal data for experimental test. The experimental results show that this method can maintain high recognition accuracy and effectively identify and filter out abnormal signals in the network when dealing with a large number of signal data. Furthermore, this method also shows strong ability in error data repair, which can restore the original data more effectively. In addition, the energy efficiency simulation experiment shows that the proposed algorithm has higher detection rate and energy efficiency ratio than the traditional algorithm. Finally, through the signal coverage performance test, the advantages of this method in wireless communication network signal coverage are further verified.

关键词： Degradation Energy consumption Accuracy signal processing algorithms Maintenance engineering Filtering algorithms Throughput Energy efficiency Stability analysis Cognitive radio

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Advanced signal processing Techniques for Plasma-MAG Welding Process

Advanced Signal Processing Techniques for Plasma-MAG Welding...

引用

signal processing algorithms, Architectures, Arrangements and Applications (SPA)

作者： Solomon Habtamu Tessema Daruisz Bismor Roman Wyżgolik Department of Measurements and Control Systems Silesian University of Technology Gliwice Poland

ISBN: (数字)9788362065486

ISBN: (纸本)9798350373806

The Plasma-MAG (Metal Active Gas) welding process represents an advanced hybrid welding technique that combines the precision of plasma arc welding with the robust shielding capabilities of MAG welding. This integration is pivotal for applications requiring high-quality, defect-free welds. As the demand for superior welding performance and efficiency increases in various industrial sectors, the role of advanced signal processing techniques becomes ever more *** paper explores the application of sophisticated signal processing methods such as wavelet transforms, Fourier transforms, discrete wavelet transforms (DWT), and time-frequency analysis in the Plasma-MAG welding process. It specifically focuses on the role of the microphone within the monitoring and data acquisition setup depicted in the hybrid welding process, highlighting how these signal processing techniques are utilized to enhance monitoring and analysis capabilities during welding operations. By analyzing the welding signals, these methods facilitate the early detection of defects, ensure consistent weld quality, and optimize welding parameters for enhanced performance. The integration of advanced signal processing not only improves weld integrity but also contributes to process efficiency and reliability, addressing the stringent requirements of modern manufacturing and industrial applications. This study underscores the transformative impact of signal processing technologies on the Plasma-MAG welding process, highlighting their potential to advance welding practices and outcomes.

关键词： Time-frequency analysis Welding signal processing algorithms signal processing Wavelet analysis Stability analysis Discrete wavelet transforms Monitoring Microphones Defect detection

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Adaptive PCA-Based Spectral Estimation Method for MST Radar signal processing

Adaptive PCA-Based Spectral Estimation Method for MST Radar ...

引用

International Conference on Wireless Communications, signal processing and Networking (WiSPNET)

作者： G. Chandraiah P.Suresh Babu G. Srinivasulu Department of ECE Sri Venkateswara College of Engineering Tirupati India Department of ECE Sri Venkateswara University College of Engineering Tirupati India

ISBN: (数字)9798350350845

ISBN: (纸本)9798350350852

Subspace methods founded on Eigen-value decomposition have been utilized to retrieve relevant data from extensive datasets. This work suggests the least variance spectral estimation technique named as Proposed Algorithm (PALG) for adaptive principle component based spectrum computation. Using PALG, we analyze the signal received by the MST (Mesosphere-Stratosphere-Troposphere) radar placed at NARL (National Atmospheric Research Laboratory) Gadanki in this proposed work. Additionally, we tested the PALG approach with simulated signals, like broadband signals, at various noise levels (a). The PALG performed better in identifying the number of frequencies in the simulated signal, especially in the case of a noise-corrupted signal. Finally, the suggested algorithm is applied to the MST radar data in order to estimate the Doppler frequency spectrum, which is then utilized to determine the wind, zonal, and meridional velocities. The PALG performs well at higher altitudes when compared to current techniques, and ground truth GPS data was used to validate the MST radar results.

关键词： Wireless communication Wind speed Estimation signal processing algorithms Radar signal processing Doppler radar Doppler effect

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LLM for Complex signal processing in FPGA-based Software Defined Radios: A Case Study on FFT

LLM for Complex Signal Processing in FPGA-based Software Def...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： Yuyang Du Hongyu Deng Soung Chang Liew Yulin Shao Kexin Chen He Chen The Chinese University of Hong Kong China University of Macau China

ISBN: (数字)9798331517786

ISBN: (纸本)9798331517793

This paper investigates the potential of large language models (LLMs) in accelerating the development of complex signal-processing algorithms on field-programmable gate arrays (FPGAs) for software-defined radio (SDR) systems. Using the Fast Fourier Transform (FFT) algorithm as a case study, we identify two common challenges in applying LLMs to realize intricate wireless communication algorithms on FPGA: 1) handling convoluted mathematical problems and 2) scheduling the execution of sub-modules within the hardware structure. To overcome the first problem, we adapt the chain-of-thought (CoT) prompting technique with a length-limit strategy to enhance the LLM’s Verilog writing performance. To handle the second problem, we develop a novel iterative in-context learning (IICL) prompting scheme that utilizes the iterative structure within the FFT module to perform in-context learning (ICL). These efforts significantly reduce the LLM’s error rate in completing the FFT implementation task and make possible the successful generation of a 64-point FFT module in Verilog, marking a significant milestone as the first LLM-written complex signal-processing algorithm for wireless communication on FPGA.

关键词： Wireless communication Vehicular and wireless technologies Fast Fourier transforms Software algorithms signal processing algorithms Writing Iterative methods Hardware design languages Field programmable gate arrays Software radio

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Applications of Symplectic Geometry Theory in Electromagnetic Simulations and signal processing

Applications of Symplectic Geometry Theory in Electromagneti...

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Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSRWTC)

作者： Jin Zhao Xianliang Wu Guoda Xie School of Electronic Information Engineering Anhui University Anhui University Hefei China

ISBN: (数字)9798331507794

ISBN: (纸本)9798331507800

This paper primarily introduces the applications of symplectic geometry theory in high-frequency approximations of electromagnetic fields, construction of high-precision numerical algorithms, and radar signal processing. It focuses on summarizing how symplectic high-frequency approximation solves the caustic problem in high-frequency approximations through ray lifting in phase space. The paper also discusses the specific applications of high-precision, highly stable, and high-fidelity time-domain numerical algorithms such as symplectic finite-difference time-domain (SFDTD) and multi-symplectic algorithm (MSA) in electromagnetic simulation, and multi-physics problem modeling and analysis. Finally, it introduces the application of symplectic geometric mode decomposition (SGMD) technique in radar signal denoising and mixed signal separation.

关键词： Geometry Wireless communication Electric potential Source separation signal processing algorithms Approximation algorithms signal denoising Time-domain analysis Electromagnetics Finite difference methods

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Clock signal Recovery Algorithm for FPGA-based Microcontroller Near-Field EMI Measurement and processing

Clock Signal Recovery Algorithm for FPGA-based Microcontroll...

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Workshop on Electromagnetic Compatibility of Integrated Circuits (EMC Compo)

作者： Shih-Yi Yuan Shin-Hsien Chiang Yun-Ling Wang Liang-Yang Lin Yuan-Fu Ku Communication Engineering Feng Chia University Taichung Taiwan Bureau of Standard Metrology and Inspection(BSMI) Ministry of Economic Affairs Taipei Taiwan Electron Testing Center Taiwan

ISBN: (数字)9798331504632

ISBN: (纸本)9798331504649

Embedded systems exhibit variability in emitted EMI when executing different instructions. To further analyze EMI signals and identify their correlations with the internal behavior of a specific DUT (an FPGA-based microcontroller), an improved algorithm for processing clock signals is proposed to recover distorted clock waveforms. This approach allows for more accurate and stable FPGA-based microcontroller EMI signal segmentation and analysis. This technique can provide technical support for electromagnetic information leakage security analysis in embedded systems.

关键词： Integrated circuits Embedded systems Accuracy Microcontrollers Electromagnetic interference signal processing algorithms Electromagnetic compatibility Distortion Distortion measurement Clocks

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Circuit Design and Fusion signal processing Based on Uncertain Algorithm for Intelligent Wheel Speed Sensor of Integrated-Electronic-Parking-Braking System

Circuit Design and Fusion Signal Processing Based on Uncerta...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Zhu Zheng Wang Xiangyu Li Liang Li Zhaonan State Key Laboratory of Automotive Safety and Energy Tsinghua University Beijing China

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527488

Integrated-Electronic-Parking-Braking (EPBI) system is an important component of vehicles. Intelligent wheel speed sensor is the essential basic sensor of intelligent vehicle. The stable wheel speed signal is the key factor to realize EPBI control. Based on uncertain algorithm, a new type of circuit and fusion signal processing (FSP) is proposed, which solves the effective signal screening and signal fluctuation problem in traditional process system of intelligent wheel speed sensor. The wheel speed processing circuit includes an adjustable voltage regulator supply module (RSM) and signal processing module (SPM). On the basis of the circuit, FSP is designed, which can reduce the sensitivity of wheel speed signal to environmental noise to get a stable signal. The results show that this method processes the intelligent wheel speed signal effectively, improves the stability of wheel speed signal and ensure the basic braking function of EPBI.

关键词： Regulators Sensitivity Software packages Intelligent vehicles Working environment noise Wheels signal processing algorithms signal processing Stability analysis Voltage control

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