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检索条件"任意字段=2nd International Conference on Signal and Data Processing, ICSDP 2022"

共 3153 条记录，以下是111-120 订阅

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Distributed Aperture Coherent Synthesis Method based on Two-stage Compensation 2

Distributed Aperture Coherent Synthesis Method based on Two-...

引用

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

作者： Liu, Zhongwei Zhou, Dongming Xiang, Rongrong Chen, Jie Wu, Tianhang Ding, Tianyu Liu, Xiaochuan Gao, Hongwei Beihang University School of Electronic and Information Engineering Beijing China School of Information and Electronics Beijing Institute of Technology Radar Research Lab Beijing China Beijing Institute of Computer Technology and Application Department of Data Technology and Application Beijing China Beijing Institute of Radio Measurement Radar R&d Center Beijing China

ISBN: (纸本)9798331515669

To solve the problem that it is difficult to accurately estimate the coherent parameters of distributed aperture radar under the condition of low signal-to-noise ratio, a distributed coherent synthesis method based on two-stage compensation is proposed in this paper. This method utilizes prior information such as system layout, beam pointing, and inertial navigation station location to perform coarse alignment of echoes at the first stage in time, and then uses cross-correlation method to estimate coherent parameters of delay and phase within a small range, and perform precise compensation of time and phase at the second stage, so as to realize the coherent synthesis of multiple radar echoes. Experimental results show that the proposed method can effectively realize distributed coherent synthesis processing under low signal-to-noise ratio. © 2024 IEEE.

关键词： signal to noise ratio

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Analysis of Equipment Health Status based on Vibration Detection Technology 2

Analysis of Equipment Health Status based on Vibration Detec...

引用

2nd IEEE international conference on Integrated Intelligence and Communication Systems, ICIICS 2024

作者： Li, Ji Deng, Ting Li, Qingqi Xie, Xin China Tobacco Guangxi Industrial Co. Ltd Nanning China

ISBN: (纸本)9798331504960

The health status of tobacco equipment is crucial for the normal operation of industrial production and social life. By collecting, processing, and analyzing equipment vibration signals, we can obtain information on the operating status of the equipment, and thus determine its health status. This article analyzes the requirements for a device health monitoring system and designs its hardware and software. The vibration signal acquisition module consists of vibration sensors, signal conditioning circuits, digital signal processors, and data acquisition cards. We choose the CA-YD-185 piezoelectric vibration accelerometer as the sensor for collecting vibration signals. The monitoring service terminal selects the Hilbert transform method to transform and process vibration signals, and extracts equipment status features. The experimental results indicate that vibration detection technology can effectively detect faults and abnormalities in tobacco equipment, providing important reference for equipment maintenance and management. This system can monitor the status of tobacco equipment based on changes in equipment vibration signals, and is suitable for practical applications in tobacco equipment operation and maintenance. © 2024 IEEE.

关键词： Digital signal processors

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Research on Intelligent Monitoring System of Nuclear Power Plant Emergency Feed Pump Based on Computer Big data 2

Research on Intelligent Monitoring System of Nuclear Power P...

引用

2nd IEEE international conference on Image processing and Computer Applications, ICIPCA 2024

作者： Gao, Chao Song, Xianjun Zhang, Zhiqiang Li, Chunguang Chang, Xincai Cgn Digital Technology Co. Ltd Cgnpc Beijing China

ISBN: (纸本)9798350360240

In this paper, an intelligent monitoring system based on computer big data and deep learning is designed and constructed to meet the critical equipment diagnosis requirements of emergency feed pumps in nuclear power plants. The system integrates multi-sensor data and uses ResNet architecture to construct fault diagnosis model, which effectively solves the problem of information omission caused by mechanical signal attenuation and significantly improves diagnostic accuracy and stability. In this research, STFT is used to transform vibration signals into time-frequency domain features to enhance feature extraction ability. In order to meet the challenge of CNN network training performance degradation, the improved ResNet structure is innovatively applied to dig deep into complex signal features. Experiments show that the ResN et model based on multi-sensor fusion strategy has excellent performance in rotor and motor fault diagnosis. It is not only accurate in classification, but also superior to the traditional multi-sensor CNN model and single-sensor ResNet model in terms of training convergence speed, diagnostic accuracy and anti-noise ability. This study provides key technical support for the construction of efficient and reliable intelligent monitoring system of emergency feed pump for nuclear power plant. © 2024 IEEE.

关键词： Nuclear power plants

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Modified Probabilistic 2 Satisfiability Reverse Analysis via Ensemble Attribute selection Operator 2

Modified Probabilistic 2 Satisfiability Reverse Analysis via...

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

作者： Chen, Ju Zheng, Chengfeng Gao, Yuan Chengdu University of Traditional Chinese Medicine School of Medical Information Engineering Sichuan China Universiti Sains Malaysia School of Mathematical Sciences Penang Malaysia

ISBN: (纸本)9798331515669

The validity of logic mining depends on the validity of logic rules and the logic mining model. Standard system logic mining technology has obtained a series of optimization methods. The most effective optimization methods include embedding permutation operators and optimal attribute selection, but they fail to map unbalanced data sets well. Therefore, In order to improve the efficiency of the reverse analysis model of the existing system logic mining and to fit the unbalanced data, this paper introduces a PRO2SAT logic mining model based on traditional reverse analysis. It uses the generalization attribute of different positive literal proportions of PRO2SAT and the Ensemble Attribute Selection (EAS) strategy to help extract the best logic from the data set in the correct search space. The experimental results show that the proposed PRO2SATRA logic mining scheme has significant improvement in accuracy and competitiveness compared with the standard 2SAT reverse analysis method. © 2024 IEEE.

关键词： Hopfield neural networks

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The Imbalanced Recognition of Space Micro-Motion Targets Based on GRB Loss 2

The Imbalanced Recognition of Space Micro-Motion Targets Bas...

引用

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

作者： Tian, Xudong Zhang, Jingang Bai, Xueru Wang, Yan Wang, Zheng Beijing Institute of Astronautical Systems Engineering Beijing China Xidian University National Key Laboratory of Radar Signal Processing Xi'an China

ISBN: (纸本)9798331515669

Limited by the quantity of space micro-motion targets launches and observation conditions, datasets for recognizing space micro-motion target usually is class imbalanced. Under such circumstances, the recognition performance of the available methods degrades rapidly, and in some cases, even complete failure. To tackle this issue, this paper proposes a gradient-guided class re-balancing loss (GRB Loss) for the imbalanced datasets of space micro-motion targets recognition. Particularly, in the proposed GRB Loss, we design an adaptive weighting function, which use the accumulated positive and negative gradient ratio of each classification node as input, to assign the weights to the positive and negative gradient, so as to improve the imbalance of the positive and negative gradient ratio in each classification node. Experimental results show that the proposed method enhances recognition performance on imbalanced datasets and remains robust across varying imbalance ratios. © 2024 IEEE.

关键词： Inverse synthetic aperture radar

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Joint Allocation Of Multi-aircraft Radar Transmit And Maneuvering Resource For Multi-target Tracking 2

Joint Allocation Of Multi-aircraft Radar Transmit And Maneuv...

引用

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

作者： Yan, Junkun Li, Chen Jiao, Hao Liu, Hongwei Xidian University National Key Laboratory of Radar Signal Processing Xi'an China

ISBN: (纸本)9798331515669

Multi-aircraft radar detection often uses preset transmit patterns and flight paths, and detection performance can be dramatically degraded by mismatched irradiation to transmit resource and blind area avoidance of enemy targets. Aiming at this problem, this paper proposed a joint transmit and maneuvering resource allocation method (JTMRA) for multi-aircraft radar tracking multi-target, to achieve high precision detection and tracking of enemy targets. First, we designed a multi-target tracking performance evaluation mechanism based on the Bayesian Cramér-Rao Lower Bound (BCRLB);Secondly, we established a joint optimal allocation model of multi-aircraft radar transmit and maneuvering resource, and analyzed the correlation between the optimized variables and the tracking performance;Finally, the simulation results showed that the method proposed in this paper obtained highly accurate target tracking results with limited resource. © 2024 IEEE.

关键词： Cramer-Rao bounds

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A Vital Signs Intelligent Detection Framework of FMCW MIMO Radar Based on 3-D Beamforming and Muli-site Fusion of Heartbeat signals 2

A Vital Signs Intelligent Detection Framework of FMCW MIMO R...

引用

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

作者： Wang, Zijia Gong, Pengcheng Wuhan Institute of Technology Wuhan China The Hubei Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan China

ISBN: (纸本)9798331515669

This paper presents a framework for frequency modulated continuous wave (FMCW) multiple input multiple output (MIMO) radar non-contact vital sign monitoring to achieve accurate heart rate (HR) in low SNR environments. The framework consists of two main parts. The first part includes a 3-D cardiac beamformer based on heartbeat signal quality, which is a beamformer composed of the distance dimension, azimuth and zenith angles. Proposed a new beamformer method and combined with the heart signal quality evaluation model to focus the radar array beam on the human heart to improve the signal quality. The second part proposed the multipart signal fusion (MSF) method, which fuses the reflection intensity of different parts of the trunk to improve the signal-to-noise ratio, thereby improving the performance of BR and HR. Finally, the HR and BR signals are separated by filter. © 2024 IEEE.

关键词： signal to noise ratio

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Correction Method for Digital Beamforming in the Range-Doppler Domain for Tandem Bistatic SAR 2

Correction Method for Digital Beamforming in the Range-Doppl...

引用

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

作者： Guo, Huancheng Lou, Jiahan Wang, Zhibin Zhang, Qi Li, Zhengfang Zhang, Qingjun Xidian University National Key Laboratory of Radar Signal Processing Xi'an China Xidian University Institute of Information Sensing Xi'an China China Academy of Space Technology Institute of Remote Sensing Satellite Beijing China

ISBN: (纸本)9798331515669

This paper investigates a correction method for digital beamforming (DBF) based on tandem bistatic Synthetic Aperture Radar (SAR). Due to its unique geometric configuration and electromagnetic characteristics, the tandem bistatic SAR system offers significant advantages in enhancing resolution and target recognition capabilities. However, traditional DBF techniques encounter performance limitations when processing elevation-direction signals in tandem bistatic SAR systems. To address this issue, the paper first analyzes the imaging principles and characteristics of the tandem bistatic SAR system, and then establishes a linear approximation model for the relationship between point target azimuth angles and transmitter-receiver distances, providing a theoretical foundation for DBF correction. A range-Doppler domain DBF processing method is introduced to enhance elevation-direction signal processing performance. Simulation experiments confirm the effectiveness of the proposed approach. © 2024 IEEE.

关键词： Beamforming

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Outlier Elimination of Telemetry data Based on Arithmetic of 53H 2

Outlier Elimination of Telemetry Data Based on Arithmetic of...

引用

2nd international conference on signal Image processing and Communication, ICSIPC 2022

作者： Sun, Hao Liu, Lei Sun, Jian-Wei Duan, Si-Jia The 15th Research Institute China Electronics Technology Group Corporation Beijing100083 China

ISBN: (纸本)9781510657694

In the process of telemetry data distribution from the satellite to each telemetry station, due to the influence of weather, magnetic field interference and other accidental factors, the observed data will seriously deviate from the target true value. We call this part of data outliers. The accuracy of telemetry data is very important. If there are outliers in telemetry data, it will directly affect the subsequent fault detection and prediction, produce abnormal misjudgment, and even cause false alarm, which will perplex the subsequent staff to confirm the satellite state and deal with satellite abnormalities. In this paper, an improved arithmetic of 53h is proposed to eliminate outliers from the telemetry data of a navigation satellite. The elimination rate of isolated outliers can reach 100%, and it can avoid the wrong elimination of correct data by continuous *** model is simple and fast, and can be well applied to non real-time and real-time telemetry data preprocessing. © 2022 SPIE.

关键词： Satellites

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Deformation monitoring of the skyscrapers by TomoSAR method 2

Deformation monitoring of the skyscrapers by TomoSAR method

引用

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

作者： Zhao, Jingwen Chen, Yan Zhang, Li Pudong Branch Shanghai Surveying and Mapping Institute Shanghai China Pudong Branch Key Laboratory of Spatialtemporal Big Data Analysis and Application of Natural Resources in Megacities Ministry of Natural Resources Shanghai China

ISBN: (纸本)9798331515669

Land subsidence not only endangers the safety of houses, roads, infrastructure and underground pipelines but also causes cascading disasters. The total monitoring of urban surface stability is extremely important for monitoring the health of bridges, subways, buildings, etc. Compared with traditional spot measurement, Interferometric Synthetic Aperture Radar (InSAR) has the advantages of all-weather operation, wide coverage, low cost, high temporal and spatial resolution and high precision. In this paper, the tomographic SAR (TomoSAR) is adopted to solve the layover problem, especially for the skyscrapers in the densely distributed area. In the densely distributed Kowloon MTR station case, the elevation, linear deformation rate and thermal dilation of the skyscrapers are successfully estimated by 4D TomoSAR. The results provide support for health monitoring of buildings and the surrounding areas, facilitating early detection of potential risks. © 2024 IEEE.

关键词： Tall buildings

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