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IEEE International Instrumentation and Measurement technology conference (I2MTC) - Rising Above Covid-19

作者： Gietler, Harald Ubezio, Barnaba Zang, Hubert Univ Klagenfurt Inst Smart Syst Technol A-9020 Klagenfurt Austria

ISBN: (纸本)9781665453837

As two of the main sensors utilized in robotics, environment representation and navigation, ToF cameras and radars are often combined in sensor fusion frameworks. Realistic and complete simulation plays a crucial role in fast prototyping, performance assessment, and model analysis of systems relying on these sensing technologies. Typical simulation environments, however, don't model key characteristics, such as the radar sensor's time domain raw data, antenna arrays' structure, or parasitic effects of depth estimation of ToF cameras. This article presents a simultaneous ToF camera and radar simulation based on the Unity 3D engine. The two sensors are modeled from a single custom RGB camera object and are inherently time synchronized. The simulation provides ToF depth and intensity estimates, together with time domain radar data and realistic detrimental effects, allowing testing of standard post-processing algorithms. Several parameters can be configured, such as field of view, modulation characteristics, and the number and position of antennas. Moreover, simulation objects can have different material properties for the two sensors making them more or less visible for each sensor. The approach focuses on user-friendly, realistic sensor simulation while keeping computational complexity within acceptable limits to ensure applicability. The capabilities of the proposed simulator are validated by comparing real and simulated sensors in different scenarios.

关键词： Frequency modulation

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False target anti-recognition method based on kinematic parameter modulation 16

False target anti-recognition method based on kinematic para...

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16th International conference on Microwave and Millimeter Wave technology (ICMMT)

作者： Li, Jiaxin Dong, Jian Xiao, Chengwang Cent South Univ Sch Elect Informat Changsha 410075 Peoples R China

ISBN: (纸本)9798350389968

Since the distance spoofing false target generated by the reflection of the corner reflector does not satisfy the law of conservation of momentum, it can be recognized directly by the kinematic characteristics in the target recognition radar data processing link, thus failing to achieve the effect of surprise defense. In this paper, a distance parameter modulation formula is derived based on mathematical theory, through which the false target is modulated to satisfy the conservation of momentum moment as the solid target. The experimental results show that the distance spoofing false targets modulated by this method satisfies the conservation of momentum moment.

关键词： radar reflection

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Construction of a Smart Mine Water Hazard Warning Platform Based on BIM+GIS 3D visualization

Construction of a Smart Mine Water Hazard Warning Platform B...

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2024 International conference on Interactive Intelligent Systems and Techniques, IIST 2024

作者： Xu, Linxiao College of Geology and Environment Xi'an University of Science and Technology Xi'an710054 China

ISBN: (纸本)9798350374421

In response to the current situation of slow response speed and low warning accuracy of flood disaster warning systems, with the goal of improving the accuracy and real-time performance of flood disaster warning, this paper conducts research on a smart mining flood disaster warning system using visualization technology. This platform integrates BIM and GIS to achieve the integration, analysis, and visualization of multi-source data such as mine internal structure, geological features, and sensor data. By using real-time monitoring and analysis of mine data, combined with advanced warning algorithms and models, the platform can accurately identify potential water hazards and display them to users through 3D visualization. Experimental tests have found that the accuracy of early warning on this platform is between 93% and 98%. The construction of a smart mine water hazard early warning platform based on BIM+GIS 3D visualization has achieved significant results. © 2024 IEEE.

关键词： data accuracy

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Multi-Instrument Atmospheric Remote Sensing with 94 GHz radar as Primary data Source 21

Multi-Instrument Atmospheric Remote Sensing with 94 GHz Rada...

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21st European radar conference, EuRAD 2024

作者： Yanovsky, Felix Pitertsev, Alexander Unal, Christine Russchenberg, Herman Delft University of Technology GRS Department Netherlands State University Kyiv Aviation Institute ERMIT Department Ukraine

ISBN: (纸本)9782874870798

This paper develops procedures and presents results of processing W-band radar signals reflected from rainfalls and comparing them with non-radar observations. A laser disdrometer, weather stations, and a radiometer are used as non-radar sensors. The data has been accumulated during 2021-23. To process this data, special software with graphical interface is developed in the MATLAB. Algorithms for selecting the suitable data and processing the results of disdrometer measurements of drop size distribution are developed to estimate radar reflectivity in W-band and integrate the multi-sensor measurement data. The results of estimating radar reflectivity and velocity spectra from the disdrometer and the radar reflectivity and Doppler spectra are compared. The possibility of estimating polarization characteristics is provided. The proposed methodology can be used for calibration of cloud radars, which has important implications for radar meteorology, hydrology and climate research. © 2024 European Microwave Association (EuMA).

关键词： MATLAB

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Doppler Processing with Near-Field Arrays 28

Doppler Processing with Near-Field Arrays

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conference on radar sensor technology XXVIII

作者： Dogaru, Traian Ranney, Kenneth US Army Combat Capabil Dev Command Army Res Lab 2800 Powder Mill Rd Adelphi MD 20783 USA

ISBN: (纸本)9781510674158;9781510674141

Surveillance radar systems equipped with active electronically scanned antenna arrays (AESA) typically operate with low spatial resolution (50 to 100 m). Under these conditions, the data transformation from the radar signal in the frequency, array position and slow time dimensions to the reflectivity map in the range, angle and Doppler dimensions is conventionally performed by a 3-D fast Fourier transform (FFT). In this paper, we consider a radar system equipped with a wide, near-field array, providing high angular resolution, and examine the changes required in the matched filter-based signal processing to accommodate this sensing geometry. Beamforming techniques that include exact, approximate, FFT-based and sparse-array-based matched filter implementations are investigated. Additionally, we consider joint Doppler-azimuth mapping with wide antenna arrays, while the system operates with narrowband waveforms to allow decoupling of range from the other two signal dimensions. In the numerical examples, we demonstrate a 200-m-wide, S-band sparse array capable of achieving 0.03 degrees resolution in azimuth. Processing with a fully coupled, high range resolution system equipped with a wide antenna array will be investigated in a future publication.

关键词： Doppler processing antenna arrays beamforming matched filter distributed radar sparse arrays

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Application of sensors in Flexible Process Control of Intelligent Manufacturing 39

Application of Sensors in Flexible Process Control of Intell...

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39th Youth Academic Annual conference of Chinese-Association-of-Automation (YAC)

作者： Qiu, Jianxiong He, Zhaoshui Yan, Cheng Zhou, Hailong Guangdong Univ Technol Guangzhou Peoples R China Guangdong Univ Technol Sch Automat Key Lab Informat Proc & Syst Integrat IoT Minist Educ Guangzhou Peoples R China Intelligent Mfg Engn Technol Res Ctr Huizhou Met Cutting Proc Unit Huizhou Peoples R China Tianjin Bonuo Intelligent Robot Technol Co Ltd Tianjin Peoples R China

ISBN: (纸本)9798350390780;9798350379228

In order to carry out the intelligent production of typical chemical products for the application of order-based flexible production system, based on intelligent measurement and control technology, a new generation of information technology such as industrial Internet, intelligent management and control, data visualization, and informatization is integrated. In this paper, we study the establishment of an order-based flexible production process with definable configuration according to the intelligent processing mode of process automation. After selecting the sensor reasonably, Configuration of the industrial intelligent detection system, System signal processing and digitalization, Industrial information network construction and debugging, Programming operation and debugging of intelligent measurement and control systems, Production tasks such as visualization and remote monitoring of the production process. The study found,The sensor plays a vital role in the control system control of the DCS -based controller, Liquid level sensors and flow/weight sensors and other key sensors can monitor various parameters in the production process in real time, provide accurate data support for the control system to ensure the accuracy and stability of the ingredient system. And realize the flexible ingredients controlled by program control, and then make the feeding at the same time to improve production efficiency. This research provides a strong technical guarantee for actual production, and provides a feasible implementation method for our intelligent manufacturing process industrial control.

关键词： sensor Process control visualization DCS control

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Robust Loop-Closure Algorithm Based on GNSS Raw data for Large-Scale and Complex Environments

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IEEE TRANSACTIONS ON VEHICULAR technology 2024年第8期73卷 10884-10898页

作者： Shi, Yanfang Lian, Baowang Zeng, Yonghong Kurniawan, Ernest Northwestern Polytech Univ Xian 710072 Peoples R China ASTAR Inst Infocomm Res Singapore 138632 Singapore

Trajectory drift is a significant issue in intelligent vehicles that rely on multi-source fusion for achieving autonomous navigation, hindering the accurate positioning of these vehicles. Existing loop-closure algorithms mostly rely on single-sensor data, such as visual or LiDAR (Light Detection and Ranging) data, making their performance susceptible to degradation in challenging environments. This paper proposes a novel loop-closure detection algorithm. It employs ORB (Oriented FAST and Rotated BRIEF) feature points from visual data for loop-closure candidate frame detection, confirms loop-closure frames using depth values mapped from LiDAR data onto images, and finally utilizes GNSS (Global Navigation Satellite System) raw data to validate and correct trajectory drift further. The paper concludes by validating the stability and robustness of the proposed loop-closure algorithm through simulations with various publicly available datasets, thereby assessing its performance in large-scale and complex environments. Furthermore, by integrating the proposed loop-closure algorithm into an openly accessible online odometer, the results demonstrate an improvement in position estimation accuracy by 83.45%.

关键词： Global navigation satellite system Laser radar Feature extraction Trajectory visualization Point cloud compression Satellites loop-closure GNSS vision LiDAR trajectory drift

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Design of High-Performance Millimeter-Wave radar Digital Processing Accelerator 16

Design of High-Performance Millimeter-Wave Radar Digital Pro...

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16th International conference on Microwave and Millimeter Wave technology (ICMMT)

作者： Ai, Lingbo Li, Zhentao Yu, Yang Zeng, Menglin Changsha Univ Sci & Technol Sch Phys & Elect Sci Changsha 410114 Peoples R China Hunan Great Leo Microelect CO LTD Changsha 410000 Peoples R China

ISBN: (纸本)9798350389968

This research topic aims at designing a high-performance millimeter-wave radar digital processing accelerator. According to the current millimeter-wave radar point cloud generation algorithm, the internal computing components of the accelerator mainly include Fast Fourier Transform(FFT), Constant False Alarm Rate(CFAR), windowing, and other submodules. To minimize the interference of the central processor with this accelerator as much as possible, this research designs an operational register that is highly versatile, reusable, and circular. After parameter programming by the user, the accelerator can independently and continuously complete the operation of the point cloud generation algorithm. The experiments show that the accelerator can independently calculate complex sample data of 256*32 size without external interference. After the operations of 2DFFT and ABS, the relative error remains below 10% compared to MATLAB. The computational results of 2D-CFAR are entirely consistent with the simulated results from MATLAB.

关键词： millimeter-wave radar accelerator FFT CFAR point cloud

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Improved Investigation of Electromagnetic Compatibility Between radar sensors and 5G-NR Radios 28

Improved Investigation of Electromagnetic Compatibility Betw...

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conference on radar sensor technology XXVIII

作者： Amaireh, Anas Zhang, Yan (Rockee) Xu, Dexiang (John) Bate, David Univ Oklahoma Intelligent Aerosp Radar Team Sch Elect & Comp Engn Norman OK 73019 USA Univ Oklahoma Adv Radar Res Ctr Norman OK 73019 USA Naval Informat Warfare Ctr NIWC Atlantic N Charleston SC 29419 USA

ISBN: (纸本)9781510674158;9781510674141

The emergence of 5G networks in frequency bands close to those used by aviation radar altimeters introduces new interference challenges, necessitating innovative solutions for accurate altitude prediction. This paper introduces a novel approach using machine learning (ML) algorithms to predict aircraft altitude from down sweep signals of frequency-modulated continuous wave (FMCW) radar altimeters, focusing on overcoming 5G interference. It details the implementation of various ML models and the use of down sweep data, which provides unique signal characteristics advantageous for altitude estimation. The methodology involves collecting and processing real 5G signals, emulating radar altimeter operation under different interference levels to create a comprehensive dataset, and rigorously evaluating the ML models with statistical metrics to verify their accuracy in altitude prediction amidst 5G signals. The results show that this ML-based framework markedly enhances altitude estimation accuracy, offering a robust method for radar a ltimeter operation in the 5G era. This research advances flight safety by providing a solution for reliable altitude measurement despite potential 5G interference.

关键词： 5G radar altimeters Machine learning Altitude Prediction Signal Processing

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PLATERA: A Comprehensive Web-Based System and sensor dataset for Activity Recognition in Households Environments 1

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16th International conference on Ubiquitous Computing and Ambient Intelligence

作者： Diaz-Jimenez, David Luis Lopez, Jose Gaitan-Guerrero, Juan F. Espinilla, Macarena Univ Jaen Jaen Spain

ISBN: (数字)9783031775710

ISBN: (纸本)9783031775703;9783031775710

In this work we present a web-based system, PLATERA, and an extensive dataset, Living dataset PLATERA, designed to be used for activity recognition and monitoring in households environments. Each user of the platform can access different functions depending on their role, including activity monitoring, data management, sensor visualization, home creation, and sensor management. The dataset contains information gathered from a variety of sensors, including motion sensors that use passive infrared (PIR) technology to detect movement, anchor devices that measure Received Signal Strength Indicator (RSSI) to determine location, and activity bands that record physical activity data. Temperature and humidity sensors provide accurate measurements of environmental conditions, while magnetic technology powers the opening and closing sensors that operate doors. Through this work we hope to encourage the development of sensor-based activity recognition systems.

关键词： Activity Recognition Smart Homes sensor data Web-Based System Internet of Things

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