• Title/Summary/Keyword: Radar Environmental Signals

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Development of Radar Environmental Signals Simulator for Simulating Sub-array Receiving Signals of Active Phased Array Multi-function Radar (능동위상배열 다기능레이다의 부배열 수신신호 모의를 위한 레이다환경신호모의장비 개발)

  • Kim, Gukhyun;Yoo, Kyungjoo;Lee, Kyungmin;Gil, Sungjun;Yang, Eunho;Lee, Kwangchul;Lee, Heeyoung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.5
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    • pp.452-458
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    • 2020
  • In this paper, the contents of the development of RESS(Radar Environmental Signals Simulator) for the test of active phased array multi-function radar are described. The developed RESS can simulate multiple target environments, such as target/jamming/missile response/cluster signals, by using received radar operational information and simulated scenario. It can also modulate frequency, phase, gain, timing on all waveforms operated by multi-function radar and simulated two targets and one jamming in the beam. The RESS can be used to perform functional and performance verification of the active phased array multi-function radar with sub-array receiving structures.

Research for Radar Signal Classification Model Using Deep Learning Technique (딥 러닝 기법을 이용한 레이더 신호 분류 모델 연구)

  • Kim, Yongjun;Yu, Kihun;Han, Jinwoo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.22 no.2
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    • pp.170-178
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    • 2019
  • Classification of radar signals in the field of electronic warfare is a problem of discriminating threat types by analyzing enemy threat radar signals such as aircraft, radar, and missile received through electronic warfare equipment. Recent radar systems have adopted a variety of modulation schemes that are different from those used in conventional systems, and are often difficult to analyze using existing algorithms. Also, it is necessary to design a robust algorithm for the signal received in the real environment due to the environmental influence and the measurement error due to the characteristics of the hardware. In this paper, we propose a radar signal classification method which are not affected by radar signal modulation methods and noise generation by using deep learning techniques.

Converting Analog to Digital Signals on the X-band Radar (X 밴드 레이더의 아날로그 - 디지털 신호 변환)

  • Kim, Park Sa;Kwon, Byung Hyuk;Kim, Min-Seong;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.3
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    • pp.497-502
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    • 2018
  • An analog to digital converter(: ADC) has been designed to extract video signals of marine X-band radar and convert to digital signals in order to produce rainfall information. X-band weather radars are suitable for high temporal-spatial resolution observations of rainfall over local ranges but they are very expensive and require professional management. The marine radars with 10-2 cost facilitate data collection and management as well as economic benefits. To validate the usefulness of the developed ADC, comparative observations were made with weather radar for short term precipitation cases. The rainfall distribution of marine radar observations are consistent with that of weather radar within a radius of 15 km. This demonstrates the usability of marine radar for rainfall observations.

Application of Ground Penetrating Radar for Estimation of Loose Layer (지반 이완구간 추정을 위한 지하투과레이더의 적용)

  • Hong, Won-Taek;Kang, Seonghun;Lee, Jong-Sub
    • Journal of the Korean Geotechnical Society
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    • v.31 no.11
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    • pp.41-48
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    • 2015
  • An investigation of a void and a loose layer of the ground is essential in order to prevent the losses of life and properties caused by subsidence and sinkage of the ground. Recently, studies on the ground penetrating radar survey have been actively conducted in order to estimate the void and the loose layer of the ground. However, an error can be committed by contrarily predicting a dense ground and a loose layer because the ground penetrating radar estimates an interface depth between geo-materials that have different electrical impedances. In this study, a loose ground depth is estimated using the characteristics of the reflected electromagnetic wave obtained from the ground penetrating radar survey. To gather the signals according to the loose ground depths, the ground penetrating radar survey is conducted on a field which underwent a huge ground settlement. In addition, the dynamic cone penetration test is performed to verify the result of the loose ground depth estimation from the ground penetrating radar survey. From the analysis of the reflection characteristics of the electromagnetic wave, a phase of an electromagnetic wave reflected from a denser soil layer is found to be identical with that of the first measured signal. On the other hand, a phase of an electromagnetic wave reflected from the loose soil layer is found to be opposed to that of the first detected signal. The comparison between the dynamic cone penetration index and electromagnetic signals by the ground penetrating radar shows that the estimated depth of the loose or dense layer is perfectly matched with a high reliability. The ground penetrating radar survey and the signal analysis performed in this study can be used not only for the survey of interface depth between the discontinuity layers but also for the estimation of the loose layer.

An Application of Computer Vision and Laser Radar to a Collision Warning System (자동차 추돌경보 시스템 개발을 위한 컴퓨터 비젼과 레이저 레이다의 응용)

  • 이준웅
    • Transactions of the Korean Society of Automotive Engineers
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    • v.7 no.5
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    • pp.258-267
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    • 1999
  • An intelligent safety vehicle(ISV) should have an ability to predict the possibility of an accident and help a driver avoid the accident in advance. The basic function of the ISV is to alert the driver by warning when the collision is to occur. For this purpose, the ISV has to function efficiently in sensing the environmental context. While image processing provides lane information, laser radar senses road obstacles including vehicles. By applying a simple clustering algorithm to radar signals, it is possible to obtain the vehicle information. Consequently, we can identify the existence of the vehicle of interest on my lane. The reliability of the sensing algorithm is evaluated by running on the highway with a test vehicle.

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Detecting Reinforcing Bars under Multi Boundary Layers and Void Shapes in Concrete Using Simulation Analysis Model of Electromagnetic Wave Radar (전자파 레이더 모의해석에 의한 다층 경계 콘크리트 철근 및 내부 공동형상 검출 특성)

  • Park, Seok Kyun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.4A
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    • pp.809-816
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    • 2006
  • More than effectively judging the existence of reinforcing bars under multi boundary layers and void shapes in concrete, this study aims to develop the analysis algorithm of radar response on multi boundary layers in reinforced concrete and radar capable of estimation of the shape of specific voids in plain concrete. To detect or estimate reinforcing bars and void shapes in these conditions, the simulation analysis model of transmission and reflection wave of electromagnetic radar is used. This radar simulation model is carried out with reinforced or non reinforced concrete of various boundary conditions and void shapes. And, the output signals (images) of radar simulation results are calculated and represented by convolution method. As the results, it is clarified that this simulation analysis technique can be used to analyze radar response on multi boundary layers in reinforced concrete and void shapes in concrete.

Characteristics of Ground-Penetrating Radar (GPR) Radargrams with Variable Antenna Orientation

  • Yoon Hyung Lee;Seung-Sep Kim
    • Economic and Environmental Geology
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    • v.57 no.1
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    • pp.17-23
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    • 2024
  • Ground penetrating radar (GPR) survey is a geophysical method that utilizes electromagnetic waves reflecting from a boundary where the electromagnetic property changes. As the frequency of the antenna is about 25 MHz ~ 1 GHz, it is effective to acquire high resolution images of underground pipe, artificial structure, underground cavity, and underground structure. In this study, we analyzed the change of signals reflected from the same underground objects according to the arrangement of transceiver antennas used in ground penetrating radar survey. The antenna used in the experiment was 200 MHz, and the survey was performed in the vertical direction across the sewer and the parallel direction along the sewer to the sewer buried under the road, respectively. A total of five antenna array methods were applied to the survey. The most used arrangement is when the transmitting and receiving antennas are all perpendicular to the survey line (PR-BD). The PR-BD arrangement is effective when the object underground is a horizontal reflector with an angle of less than 30°, such as the sewer under investigation. In this case study, it was confirmed that the transmitter and receiver antennas perpendicular to the survey line (PR-BD) are the most effective way to show the underground structure. In addition, in the case where the transmitting and receiving antennas are orthogonal to each other (XPOL), no specific reflected wave was observed in both experiments measured across or parallel to the sewer. Therefore, in the case of detecting undiscovered objects in the underground, the PR-BD array method in which the transmitting and receiving antennas are aligned in the direction perpendicular to the survey line taken as a reference and the XPOL method in which the transmitting and receiving antennas are orthogonal to each other are all used, it can be effective to apply both of the above arrangements after setting the direction to 45° and 135°.

Detection of Abnormal Area of Ground in Urban Area by Rectification of Ground Penetrating Radar Signal (지하투과레이더 신호의 보정을 통한 도심지 내 지반 이상구간의 검측)

  • Kang, Seonghun;Lee, Jong-Sub;Lee, Sung Jin;Lee, Jin Wook;Hong, Won-Taek
    • The Journal of Engineering Geology
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    • v.27 no.3
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    • pp.217-231
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    • 2017
  • The subsidence of ground in urban area can be caused by the occurrence of the cavity and the change in ground volumetric water content. The objective of this study is the detection of abnormal area of ground in urban area where the cavity or the change in ground volumetric water content is occurred by the ground penetrating radar signal. GPR survey is carried out on the test bed with a circular buried object. From the GPR survey, the signals filtered by the bandpass filtering are measured, and the methods consisting of gain function, time zero, background removal, deconvolution and display gain are applied to the filtered signals. As a result of application of the signal processing methods, the polarity of signal corresponds with the relation of electrical impedance of the cavity and the ground in test bed. In addition, the relative permittivity calculated by GPR signal is compared with that of predicted by volumetric water content of the test bed. The relative permittivities obtained from two different methods show similar values. Therefore, the abnormal area where the change in ground volumetric water content is occurred can be detected from the results of the GPR survey in case the depth of underground utilities is known. Signal processing methods and estimation of relative permittivity performed in this study may be effectively used to detect the abnormal area of ground in urban area.

spatial coordinate analysis using IR-UWB Radar (IR-UWB Radar 를 이용한 공간좌표 분석)

  • Lim, Jae-jun;kim, Min;Byun, Gi-sig;Kim, Gwan-hyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.733-734
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    • 2017
  • Ultrasonic, infrared, and CCD cameras are typically used to obtain location information, but the error range is large depending on the surrounding environment. However, IR-UWB can be used for distance and location measurement both indoors and outdoors, Technology. It is possible to determine the existence and distance of an object by emitting a short signal width in units of 1 ns and using a reflected signal and a time delay. It is also possible to measure the exact position within the cm error irrespective of the environmental conditions. Since it processes a large number of reflection signals, we try to measure three-dimensional spatial coordinates by improving the noise by using the mean value of the signal, the band pass filter and the FFT.

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Retrieval of Radial Velocity and Moment Based on the Power Spectrum Density of Scattered 1290 MHz Signals with Altitude (1290 MHz 산란 신호의 고도별 파워 스펙트럼 밀도에 기반한 시선 속도와 모멘트 산출)

  • Jo, Won-Gi;Kwon, Byung-Hyuk;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.6
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    • pp.1191-1198
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    • 2018
  • The wind profiler radar provides a standing profile of the wind vector and the atmospheric physical signal for the fixed point. Since the wind vector is calculated by the manufacturer's data processing program, the quality control of the date is limited. Therefore, understanding and exploiting the raw spectrum data need to improve the quality of the wind vector. The raw data of the wind vector is the power spectral density stored in binary form. In this study, an algorithm was completed to transform the raw data into the real spectral density, and the use of raw data was evaluated by retrieving zero-order and first-order moments of the spectral based on the spectrum quality control.