• Title/Summary/Keyword: mmWave Radar

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A Study on the Modeling of Electromagnetic Wave Propagation for the Detection of a Delamination in Concrete Specimens (콘크리트 내의 공동탐사를 위한 전자기파 모델링)

  • 조윤범;임홍철
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2000.04b
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    • pp.119-124
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    • 2000
  • The radar method is becoming one of the major nondestructive testing (NDT) techniques for concrete structures. Numerical modeling of electromagnetic wave is needed to analyze radar measurement results and to study the influence of measurement parameters on the radar measurements. Finite difference-time domain (FD-TD) method is used to simulate electromagnetic wave propagation through concrete specimens. Three concrete specimens with a 25 mm delamination embedded at 25 mm, 50 mm, and 75mm depth are modeled in 3-dimension. Also, thickness change of delamination and permittivity change are modeled.

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2-D Modeling of Electromagnetic Waves for the Probing of Concrete (콘크리트 내부 탐사를 위한 전자기파의 2차원 모델링)

  • 조윤범;임홍철
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2000.10a
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    • pp.18-23
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    • 2000
  • The radar method is becoming one of the major nondestructive testing (NDT) techniques for concrete structures. Numerical modeling of electromagnetic wave is needed to analyze radar measurement results and to study the influence of measurement parameters on the radar measurements. Finite difference-time domain (FD-TD) method is used to simulate electromagnetic wave propagation through concrete specimens. Three concrete specimens with a 19.1 mm rebar embedded at 40 mm, 60 mm, and 80 mm depth are modeled in 3-dimension. As results, 2-D image processing scheme of modeling data has been developed and applied to the imaging of steel bars inside concrete.

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Development of EM Wave Absorber for Millimeter Wave Radar (밀리미터 레이더용 전파흡수체 개발)

  • Choi Chang-Mook;Kim Dong-Il;Je Seung-Hun;Choi Yun-Seok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.223-227
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    • 2006
  • The millimeter-wave radar is positioned as a key, basic ITS technology supporting safe driving, because millimeter wave allows radar to see small distant objects. This system is considered the collision-avoidance radar available in some cars. This system employs poised radar operating within the frequency range $76\sim77GHz$. Radar systems create two major problems(false images and system-to-system interference). False echoes cause driving hazards. These problems can be eliminated through the use of EM wave absorber. Therefore, we designed and fabricated EM wave absorber using permalloy. It has the thickness of 1.4 mm with composition of permalloy:CPE=70:30 wt% and absorption ability higher than 18 dB in the frequency range $76\sim77GHz$.

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Hyperparameter optimization for Lightweight and Resource-Efficient Deep Learning Model in Human Activity Recognition using Short-range mmWave Radar (mmWave 레이더 기반 사람 행동 인식 딥러닝 모델의 경량화와 자원 효율성을 위한 하이퍼파라미터 최적화 기법)

  • Jiheon Kang
    • IEMEK Journal of Embedded Systems and Applications
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    • v.18 no.6
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    • pp.319-325
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    • 2023
  • In this study, we proposed a method for hyperparameter optimization in the building and training of a deep learning model designed to process point cloud data collected by a millimeter-wave radar system. The primary aim of this study is to facilitate the deployment of a baseline model in resource-constrained IoT devices. We evaluated a RadHAR baseline deep learning model trained on a public dataset composed of point clouds representing five distinct human activities. Additionally, we introduced a coarse-to-fine hyperparameter optimization procedure, showing substantial potential to enhance model efficiency without compromising predictive performance. Experimental results show the feasibility of significantly reducing model size without adversely impacting performance. Specifically, the optimized model demonstrated a 3.3% improvement in classification accuracy despite a 16.8% reduction in number of parameters compared th the baseline model. In conclusion, this research offers valuable insights for the development of deep learning models for resource-constrained IoT devices, underscoring the potential of hyperparameter optimization and model size reduction strategies. This work contributes to enhancing the practicality and usability of deep learning models in real-world environments, where high levels of accuracy and efficiency in data processing and classification tasks are required.

Development of the Electromagnetic Wave Absorber for 94 GHz Radar Sensors Using Permalloy

  • Choi, Chang-Mook;Kim, Dong-Il;Li, Rui;Ko, Kwang-Soob
    • Journal of information and communication convergence engineering
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    • v.4 no.3
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    • pp.114-117
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    • 2006
  • In this paper, we fabricated the EM wave absorber for 94 GHz radar sensors using Permalloy of magnetic material with chlorinated polyethylene (CPE), and S-parameter was measured. The complex relative permittivity and permeability are calculated by the measured data. Absorption abilities are simulated according to different thickness of the EM wave absorbers, and the EM wave absorber was manufactured based on the simulated design. Simulated and measured results agree very well. As a result, we developed the EM wave absorber with the thickness of 1.15 mm which has an absorption ability of 18 dB at 94 GHz.

77-GHz mmWave antenna array on liquid crystal polymer for automotive radar and RF front-end module

  • Kim, Sangkil;Rida, Amin;Lakafosis, Vasileios;Nikolaou, Symeon;Tentzeris, Manos M.
    • ETRI Journal
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    • v.41 no.2
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    • pp.262-269
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    • 2019
  • This paper introduces a low-cost, high-performance mmWave antenna array module at 77 GHz. Conventional waveguide transitions have been replaced by 3D CPW-microstrip transitions which are much simpler to realize. They are compatible with low-cost substrate fabrication processes, allowing easy integration of ICs in 3D multi-chip modules. An antenna array is designed and implemented using multilayer coupled-fed patch antenna technology. The proposed $16{\times}16$ array antenna has a fractional bandwidth of 8.4% (6.5 GHz) and a 23.6-dBi realized gain at 77 GHz.

Far Feild test on Electromagnetic Wave Absorber in Paint Type for X-babd Radar (X-Band Radar용 도료형 전파흡수체의 실장실험)

  • 안영섭;김동일;정세모
    • The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
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    • v.4 no.3
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    • pp.3-10
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    • 1993
  • As a method to measure the absorbing characteristics of microwave absorber, various microwave measuring method can be used fundamentally. There is, however, a big problem in measuring errors, since the wavelength of microwave such as used for radar is very short. Therefor, this research aimed to design and fabricate a converting adaptor of 20mm .PHI. coaxial tube from a type-N connector to coaxial tube and to use it for evaluating absorption characteristics of microwave absorbor. Furthemore, the measurements of absorbing characteristics and material constants have been perfomed and reviewed, which were carried out by using the coaxial and by using rectangular waveguide, respectively. As a result, the validity of the proposed measuring method has been conformed. In this paper, a preliminary evalua- tion on the characteristics of the electromagnetic wave absorbor for X-band radar designed and fabricated for a laboratory use is performed by reflected power method near to a pratical use. Then for field test by using X-band radar is carried out with real target of $1.2m\times1.2m$ in size. As the result of the above, the usefullness of the designed and fabricated electromagnetic wave absorber in paint type for X-band radar has been confirmed.

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Design and manufacture of horn lens antennas of 80 GHz MM wave FMCW radar for cryogenic fluids level measurement

  • Jeon, S.M.;Mun, J.M.;Lee, S.C.;Sim, K.D.;Kim, S.H.
    • Progress in Superconductivity and Cryogenics
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    • v.24 no.1
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    • pp.29-33
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    • 2022
  • Recently, development of a cryogenic fluids storage tank for storing or transporting liquid hydrogen is actively in progress. In cryogenic fluids storage tanks, hydrogen evaporates due to the extreme temperature difference inside and outside the tank. As the mass of the cryogenic fluids changes with continuous vaporization, the fluids level also changes. Therefore, there is need for a method of accurately measuring the level change in the storage tank. In the case of general cryogenic fluids, it is difficult to accurately measure the level because the dielectric constant is very low. As a method of measuring cryogenic fluids level with low dielectric constant, it can be used an Millimeter wave (MM wave) FMCW radar sensor. However, the signal sensitivity is very weak and the level accuracy is poor. In this paper, the signal sensitivity is improved by designing the horn lens antenna of the existing 80 GHz FMCW radar sensor. Horn lens antenna is fabricated by FDM/SLA type 3D printer according to horn and lens characteristics. The horn is used to increase the signal gain and the lens improves the signal straightness. This makes it possible to measure the level of cryogenic fluids with a low dielectric constant.

Systolic blood pressure measurement algorithm with mmWave radar sensor

  • Shi, JingYao;Lee, KangYoon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.4
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    • pp.1209-1223
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    • 2022
  • Blood pressure is one of the key physiological parameters for determining human health, and can prove whether human cardiovascular function is healthy or not. In general, what we call blood pressure refers to arterial blood pressure. Blood pressure fluctuates greatly and, due to the influence of various factors, even varies with each heartbeat. Therefore, achievement of continuous blood pressure measurement is particularly important for more accurate diagnosis. It is difficult to achieve long-term continuous blood pressure monitoring with traditional measurement methods due to the continuous wear of measuring instruments. On the other hand, radar technology is not easily affected by environmental factors and is capable of strong penetration. In this study, by using machine learning, tried to develop a linear blood pressure prediction model using data from a public database. The radar sensor evaluates the measured object, obtains the pulse waveform data, calculates the pulse transmission time, and obtains the blood pressure data through linear model regression analysis. Confirm its availability to facilitate follow-up research, such as integrating other sensors, collecting temperature, heartbeat, respiratory pulse and other data, and seeking medical treatment in time in case of abnormalities.

Development of the EM Wave Absorber for the Collision-Avoidance Radar of ITS (ITS의 차량충돌방지 레이더용 전파흡수체 개발)

  • Kim Dong-Il;Choi Chang-Mook;Ko Kwang-Soob
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.9 s.351
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    • pp.1-5
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    • 2006
  • In this paper, the EM wave absorber was designed and fabricated for the collision-avoidance radar as a basic sensor of ITS(Intelligence Transport System), because radar system has some problems including false image and system-to-system interference. We fabricated some samples in different composition ratio of Carbon and CPE, and defined that optimum composition ratio of Carbon and CPE was 20:80 wt%. The complex relative permittivity was calculated by the measured data. And absorption abilities were simulated according to different thickness of the EM wave absorbers using the complex relative permittivity. The EM wave absorber was manufactured based on the simulated design. Simulated and measured results agree very well. As a result, the developed EM wave absorber with the thickness of 2 mm has absorption ability over 20 dB in frequency range of $76{\sim}77$ GHz.