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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81-90 订阅

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Distributed data Acquisition: Enhancing Sensor Networks with CAN Over Powerline (DC-BUS) for Efficient and Robust System Integration of Launch Vehicles 2

Distributed Data Acquisition: Enhancing Sensor Networks with...

引用

2nd international conference on Recent Trends in Microelectronics, Automation, Computing, and Communications Systems, ICMACC 2024

作者： Teja Pedapudi, Sai Ravi Chattopadhyay, Joydeb Skyroot Aerospace Private Limited Department of Avionics Hyderabad India

ISBN: (纸本)9798350366570

In traditional launch vehicle systems, a centralized data acquisition approach is followed, where various sensors are directly connected to a data acquisition system (DAQ) which supplies the excitation signal to the sensor and also does the job of filtering, signal conditioning, digitizing and packetization of the sensor signal which is then sent to Telemetry Package which in turn transmits this information to the ground stations via RF signals. As the sensors and signal processing system are not collocated, there is a large amount of cabling from the sensor to the DAQ with power and signal causing weight penalty and Electromagnetic Interference (EMI) related issues. A failure of DAQ results in disruption of the entire sensor network. A smart sensor approach is reported in literature, in which the team developed a smart sensor integrated with an ADC and Microcontroller which transmits the data over an RS-485 Bus. Though this approach solves some of the aforesaid problems but needs additional powerlines distribution and suffers from undefined protocol. This paper proposes the use of Controller Area Network (CAN) Over Powerline (DC-BUS) bus for supplying power and acquiring data from the sensors and distributing the data acquisition resulting in a more reliable and robust sensor network for Launch Vehicles. © 2024 IEEE.

关键词： CAN bus data Acquisition System (DAQ) Launch Vehicles RS-485 Sensors Weight reduction

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signal SEPARATION IN RADIO SPECTRUM USING SELF-ATTENTION MECHANISM 49

SIGNAL SEPARATION IN RADIO SPECTRUM USING SELF-ATTENTION MEC...

引用

49th IEEE international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Damara, Fadli Utkovski, Zoran Stanczak, Slawomir Tech Univ Berlin Berlin Germany Fraunhofer Heinrich Hertz Inst Berlin Berlin Germany

ISBN: (纸本)9798350374520;9798350374513

For a radio frequency (RF) signal separation task, we propose two models operating directly on the time-domain waveform: a Transformer U-Net, a convolution-attention based model with an encoder-decoder architecture where self-attention blocks are inserted in the bottleneck to refine its representations, and a finetuned discriminative WaveNet model. The mixture of signal to separate is based on the ICASSP 2024 signal processing Grand Challenge on data-Driven signal Separation in Radio Spectrum. Compared to the baseline WaveNet architecture, we observed competitive performance with the Transformer U-Net and performance gains when finetuning the WaveNet model. The submissions achieved the 2nd rank in BER score and 3rd rank in MSE score.

关键词： RF signal separation machine learning transformers self-attention wireless communications

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Proceedings - 2024 2nd international conference on Inventive Computing and Informatics, ICICI 2024

Proceedings - 2024 2nd International Conference on Inventive...

引用

2nd international conference on Inventive Computing and Informatics, ICICI 2024

ISBN: (纸本)9798350373295

The proceedings contain 118ss papers. The topics discussed include: a comprehensive study on misconfiguration - SAAS security threat;smart tender contract management system;an analysis on conversational ai: the multimodal frontier in chatbot system advancements;energy-efficient ECG signal processing based on approximate pruned Haar discrete wavelet transform implemented on FPGA;CDSS based mobile application for stroke assistance;unveiling malware secrets through cutting-edge analysis;pose detection with corrective feedback to aid physiotherapy for Parkinson’s disease;YOLO based object detection techniques for autonomous driving;aircraft engine fault detection algorithm based on multivariate time series sensor data;and medico bot: AI based telemedicine system with disease diagnosis and expert recommendation system with blockchain implementation.

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A Modified Frequency Scaling Algorithm for Highly Squinted FMCW-SAR Mounted on Maneuvering Platforms 2

A Modified Frequency Scaling Algorithm for Highly Squinted F...

引用

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

作者： Hou, Yaxin Li, Ning Xing, Mengdao Hu, Weijin Xidian University National Key Laboratory of Radar Signal Processing Xi'an China Xidian University Academy of Advanced Interdisciplinary Research Xi'an China

ISBN: (纸本)9798331515669

This article proposes a new method for FMCW- SAR installed on highly squinted maneuvering platforms. A modified range walk correction method was proposed to solved the additive component of the range azimuth coupling. Then, in order to correct the space variation in azimuth time domain of the frequency scaling component, an improved fourth-order frequency scaling function and remaining video phase correction function is proposed. Finally, the azimuth frequency-domain nonlinear chirp scaling function is used to correct the azimuth space variation of Doppler parameters and complete azimuth focusing. Finally, we validated the effectiveness of the proposed MFSA through simulation of SAR point targets with highly squint angle. © 2024 IEEE.

关键词： Synthetic aperture radar

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SAR Deceptive Jamming Using Space-Time Coding Array 2

SAR Deceptive Jamming Using Space-Time Coding Array

引用

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

作者： Liu, Yangyang Lan, Lan Li, Jingjing Cui, Lei Chen, Guozhong Liao, Guisheng Xu, Jingwei Xidian University National Key Lab of Radar Signal Processing Xi'an China Air and Missile Defense College Air Force Engineering University Xi'an China Shanghai Institute of Satellite Engineering Shanghai China

ISBN: (纸本)9798331515669

This paper aims to implement Synthetic aperture radar (SAR) deceptive jamming by utilizing a Space-time coding array (STCA) to secure the target from imminent threats, which is of significance in the modern warfare. At the modelling stage, a SAR deceptive jamming scheme is developed by introducing a time offset across array elements to shift the transmitted signal, which is termed as the STCA. In this context, the extra degrees-of-freedom (DOFs) is obtained, and multiple false targets can be generated in the range domain. Notably, the number and position of false targets can be flexibly and accurately specified through the design of array element number and time offset. Moreover, the azimuth micromotion modulation is employed by encoding the slow time pulses and transmit elements, which is capable of changing the azimuth position of each false target. Finally, the range-Doppler (RD) algorithm is applied to perform SAR high-resolution imaging. Numerical simulation results illuminate the effectiveness and feasibility of developed scheme for SAR jamming in terms of different system parameters. © 2024 IEEE.

关键词： Space time codes

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Research and Design of Industrial IoT Device Management System Based on 5G Communication and Big data Technology 2

Research and Design of Industrial IoT Device Management Syst...

引用

2nd international signal processing, Communications and Engineering Management conference, ISPCEM 2022

作者： Zhi, Zhou Hubei Branch of China United Network Communication Group Co. Ltd. Hubei Wuhan China

ISBN: (纸本)9781665492713

The intelligent upgrade of manufacturing industry makes the IoT devices in factories and workshops increase dramatically, the data types and data structures of transmitted data become more and more complex, and the increase of intelligence makes factories urgently need a communication method with low latency, high bandwidth and large connection on the one hand, on the other hand, the traditional data storage and processing methods are gradually difficult to handle the rapidly increasing number and complex structure of IoT devices. The system is based on NB-IoT communication module and Hadoop big data platform, which can effectively realize the intelligent transformation of equipment and upgrade of data storage and processing methods in workshops and factories. The system has practical value in improving manufacturing production efficiency and reducing factory management costs, and has some reference significance for other industries to carry out intelligent transformation. © 2022 IEEE.

关键词： Big data

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Research on data-Driven UAV Intrusion Detection in Airport Terminal Area 2

Research on Data-Driven UAV Intrusion Detection in Airport T...

引用

2nd international conference on Computer Graphics and Image processing, CGIP 2024

作者： Chen, Yiming Wu, Yong Yang, Fan Chen, Hong Yang, Xuelai Yu, Guo Sanya Aviation and Tourism College Sanya China

ISBN: (纸本)9798350374186

The abuse of UAV has brought serious security risks to the flight safety of airport area. Therefore, accurate detection of illegally invaded UAV targets has become an important research direction in the field of low-altitude defense. In this paper, a data-driven UAV detection method is proposed to detect small target objects at low altitude in the airport area. Through model building, model training and model landing deployment, to realize rapid detection of UAV intrusion in the airport area. © 2024 IEEE.

关键词： Airports

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ISAR-Diff: A High-Resolution ISAR Imaging Method Based on Conditional Diffusion Models 2

ISAR-Diff: A High-Resolution ISAR Imaging Method Based on Co...

引用

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

作者： Wang, Yue Bai, Xueru Xidian University National Key Laboratory of Radar Signal Processing Xi'an China

ISBN: (纸本)9798331515669

Due to low signal-to-noise ratio (SNR) and incomplete echoes, the performance of inverse synthetic aperture radar (ISAR) imaging tends to degrade rapidly. To address this issue, this paper proposes a high-resolution ISAR imaging method based on a conditional diffusion model, dubbed as ISAR-Diff. Specifically, an ISAR imaging diffusion model is trained. Then, the complex-valued ISAR image is then inferred using the diffusion model with a guidance function, conditional on complex-valued echoes. In particular, an ISAR imaging guidance function is designed to make ISAR-Diff applicable to different scenarios and to improve the reconstruction accuracy. Experimental results based on Monte Carlo simulation and measured data demonstrate the superiority of ISAR-Diff in low SNR and incomplete echo scenarios. © 2024 IEEE.

关键词： Inverse synthetic aperture radar

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Target Location in Distributed MIMO radar based on Coherent processing 2

Target Location in Distributed MIMO radar based on Coherent ...

引用

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

作者： Wei, Fa Yan, Shi Zhu, Shengqi Lan, Lan Li, Ximin Qi, Jiawei Ma, Runlong Xidian University National Key Laboratory of Radar Signal Processing Xi'an710071 China Beijing Institute of Remote Sensing Device Beijing100854 China

ISBN: (纸本)9798331515669

In this paper, the problem of target location is investigated in the distributed multiple-input multiple-output (MIMO) radar based on coherent processing. At the modelling stage, the distributed MIMO radar is divided into three separated subarrays, where both transmit and receive functions are used in subarrays 1 and 3, while only receive function is adopted in subarray 2. Furthermore, a small frequency increment is introduced among different antenna elements in the subarray 1, in the meantime, a phase modulating operation is performed for various antenna elements in the subarray 3. In this respect, the target location performance can be improved significantly by means of the transmit modulation in subarrays 1 and 3. Under the circumstances, the model of target location is established, and a two-step estimation technology is shown, where a small location sector with respect to targets are firstly obtained, and the accurate location are further estimated. Specifically, in order to reduce the computational cost required by the multi-dimensional search procedures, an alternating procedure is developed by a sequence of 1-D searches obtained alternating between the optimization over each variable keeping the other fixed. Numerical results corroborate the effectiveness of the developed methods for the target location with distributed MIMO radar based on coherent processing. © 2024 IEEE.

关键词： Phase modulation

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An Imaging Algorithm for High-Squint SAR with Accelerated Trajectory Based on Spectral Regularization and Spectral Fusion 2

An Imaging Algorithm for High-Squint SAR with Accelerated Tr...

引用

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

作者： Ran, Lei Wang, Jiani Liu, Zheng Xie, Rong Xidian University National Key Laboratory of Radar Signal Processing Xi'an China

ISBN: (纸本)9798331515669

High-squint synthetic aperture radar (SAR) imaging with accelerated trajectory is significant for target detection and precise guidance. However, seriously space-variant Doppler parameters caused by high-squint angle and acceleration challenges the imaging performance. This paper proposes a precise imaging algorithm for high-squint SAR with accelerated trajectory. At first, coarse sub-image and sub-spectrum are obtained by factorized back-projection (BP) kernel in sub-aperture. Secondly, precise sub-spectrum center and spectrum width are derived corresponding to high-squint angle and acceleration, which are different from traditional imaging model. In the next, the sub-spectrum is corrected and regularized to avoid folding, and fused to generate whole aperture spectrum. Finally, the whole aperture spectrum is transformed into time-domain to obtain focused image. Simulated and measured SAR data experiments validate the proposed method. © 2024 IEEE.

关键词： Radar target recognition

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