• Title/Summary/Keyword: CW Doppler radar

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The Relation of Time Resolution and Radial Velocity Accuracy of a CW Doppler Radar (CW 도플러 레이더의 시각 분해능과 시선 속도 정확도의 관계)

  • Ryu, Chung-Ho;Jang, Yong-Sik;Choi, Ik-Hwan
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.23 no.7
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    • pp.815-821
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    • 2012
  • A CW Doppler radar can measure radial velocity of an object. It detects a Doppler frequency shift that is proportioned to radial velocity of a moving object. To detect a Doppler frequency shift, FFT(Fast Fourier Transform) is conducted. In this process, the time domain received signal is transformed to a frequency domain. A number of FFT affects not only the time resolution but also signal to noise ratio of received signal. So finally it is related with a radial velocity accuracy. Therefore in this paper, it is described the relation of time resolution and the radial velocity accuracy.

Implementation of a Monitoring System Using a CW Doppler Radar (CW 도플러 레이더를 이용한 모니터링 시스템 구현)

  • Shin, Hyun-Jun;Han, Byung-Hun;Choi, Doo-Hyun;Oh, Chang-Heon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.12
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    • pp.2911-2916
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    • 2015
  • The CCTV is limited by weather conditions. To overcome this limitation, we develop a monitoring program that can sense the approach or recede of two or more objects within a surveillance system that uses a continuous-wave (CW) Doppler radar, and we proposed an algorithm to efficiently detect the approach or recede information of the object. The proposed algorithm separates the signal received by the CW Doppler radar into the real and imaginary parts using Fast Fourier Transform (FFT), and sums the amplitudes for each frequency to determine whether the objects are approaching or receding, using their locations. The algorithm is verified by simulations and experiments, which confirms that it successfully detects the approach or recede of two objects.

X-band CW Doppler Radar Development for Measurement of Muzzle Velocity (포구 속도 측정을 위한 X-band CW 도플러 레이더 개발)

  • Kim, Jae-Heon;Koh, Yeong-Mok;NamGung, Sung-Won;Jang, Yong-Sik;Park, Yong-Seok;Ra, Keuk-Hwan;Choi, Ik-Kwon
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.20 no.5
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    • pp.460-470
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    • 2009
  • In this paper, we described the implementation of the X-Band continuous-wave doppler radar for muzzle velocity measurement. The radar is consisted of microwave transceiver, signal processor, power board, and the measuring program was developed for the operating and field test. The operating frequency of doppler radar is able to set ${\pm}3\;MHz$ with 5 channel from the center frequency, and the output power is 25 dBm. The minimum receiving power is -117 dBm. The radar would obtain the doppler frequency from the artillery, and calculate accurate velocity point and then estimate muzzle velocity. The performance test for this radar was done with 155 mm at barrel and tripod mounted, and also compared the performance with the reference radar. As a result, the performance of the our new radar is equal with the reference one.

Detection Algorithm for Information on Approach or Deviation of Objects Using CW Doppler Radar and FFT (CW 도플러 레이더와 FFT를 이용한 물체의 접근 이탈 정보 판단 알고리즘)

  • Shin, Hyun-Jun;Han, Byung-Hun;Oh, Chang-Heon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.999-1001
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    • 2015
  • CW Doppler radar is capable of giving the relative velocity of an object using the Doppler effect. When detecting more than an object, frequency domain analysis is needed using CW Doppler radar and FFT. Even though the number of objects and velocities can be obtained within the frequency domain, there is a disadvantage that it is difficult to assess information on approach or deviation of an object. When detecting more than an object using FFT, this study suggests an algorithm for efficiently assessing information about approach or deviation of objects within the frequency domain. The proposed algorithm divides sections into real and imaginary numbers in the frequency domain, and then determines deviation if the total sum of the amplitudes of each frequency is on the left side and approach if the total sum of the amplitudes is on the right side.

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Design and Implementation of CW Radar-based Human Activity Recognition System (CW 레이다 기반 사람 행동 인식 시스템 설계 및 구현)

  • Nam, Jeonghee;Kang, Chaeyoung;Kook, Jeongyeon;Jung, Yunho
    • Journal of Advanced Navigation Technology
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    • v.25 no.5
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    • pp.426-432
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    • 2021
  • Continuous wave (CW) Doppler radar has the advantage of being able to solve the privacy problem unlike camera and obtains signals in a non-contact manner. Therefore, this paper proposes a human activity recognition (HAR) system using CW Doppler radar, and presents the hardware design and implementation results for acceleration. CW Doppler radar measures signals for continuous operation of human. In order to obtain a single motion spectrogram from continuous signals, an algorithm for counting the number of movements is proposed. In addition, in order to minimize the computational complexity and memory usage, binarized neural network (BNN) was used to classify human motions, and the accuracy of 94% was shown. To accelerate the complex operations of BNN, the FPGA-based BNN accelerator was designed and implemented. The proposed HAR system was implemented using 7,673 logics, 12,105 registers, 10,211 combinational ALUTs, and 18.7 Kb of block memory. As a result of performance evaluation, the operation speed was improved by 99.97% compared to the software implementation.

Development of CW Doppler Sensor Signal Processing Board for Motion Detection (움직임 감지를 위한 CW도플러 센서 신호처리 보드 개발)

  • Han, Byung-hun;Oh, Chang-heon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.866-869
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    • 2015
  • In this paper, we propose a device for detect front object using low-price the CW Doppler sensor to prevent safety accident such as a bicycle, an electric wheelchair users. For this propose, we develop a signal process board and the object motion detect algorithm using to analyzing output signal of the CW Doppler sensor. Output signal from CW Doppler sensor is analog I and analog Q. The CW Doppler sensor shows phase I and phase Q of object differently when the object approach, stop, drop by sensor. We develop an algorithm that can detect object by discrimination information of phase using the CW Doppler sensor. The verification use firmware of applied hardware and algorithm. Then, the motion information can be confirming output depending on motion object by experiment normally. As a result, we check that the sensing information output by following motion of object and confirm an algorithm and motion of signal processing board.

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Implementation of A Dielectric-Resonator Oscillator for the Microwave Radar Sensor Applications (마이크로파 레이더 센서 응용을 위한 발진기 설계 및 제작)

  • Kim, Kang-Wook
    • Journal of Sensor Science and Technology
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    • v.12 no.4
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    • pp.185-190
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    • 2003
  • Recently, sensors which use the infrared light, supersonic waves, and electromagnetic waves have been used for many applications to detect information of the object. For these sensors, the accompanying system which utilizes the sensor should be systematically developed. In this paper, a general microwave radar sensor system is briefly described, and then basic applications of a CW doppler radar sensor system are introduced. For the CW doppler radar sensor applications, a highly-stable, low-cost Dielectric Resonator Oscillator (DRO) has also been designed and implemented, which can be used for commercial microwave sensor systems. The implemented DRO has output power of +5.33 dBm at 12.67 GHz and phase noise of -108.5 dBc/Hz at the 100 kHz offset frequency.

Experimental Study of Drone Detection and Classification through FMCW ISAR and CW Micro-Doppler Analysis (고해상도 FMCW 레이더 영상 합성과 CW 신호 분석 실험을 통한 드론의 탐지 및 식별 연구)

  • Song, Kyoungmin;Moon, Minjung;Lee, Wookyung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.21 no.2
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    • pp.147-157
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    • 2018
  • There are increasing demands to provide early warning against intruding drones and cope with potential threats. Commercial anti-drone systems are mostly based on simple target detection by radar reflections. In real scenario, however, it becomes essential to obtain drone radar signatures so that hostile targets are recognized in advance. We present experimental test results that micro-Doppler radar signature delivers partial information on multi-rotor platforms and exhibits limited performance in drone recognition and classification. Afterward, we attempt to generate high resolution profile of flying drone targets. To this purpose, wide bands radar signals are employed to carry out inverse synthetic aperture radar(ISAR) imaging against moving drones. Following theoretical analysis, experimental field tests are carried out to acquire real target signals. Our preliminary tests demonstrate that high resolution ISAR imaging provides effective measures to detect and classify multiple drone targets in air.

Analysis of Slant Range Accuracy Using The Transponder of Doppler Radar (도플러 레이다의 트랜스폰더를 이용한 사거리 정확도 분석)

  • Park, Doo-jin;Noh, Young-hwan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.484-486
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    • 2018
  • MF-CW(Multi-Frequency Continuous Wave)operated on Electro-Optical Tracking System to measure slant range of space launch vehicle and aircraft at Naro Space Center. In this paper, we compared and analyzed the difference exactly measured slant range using the laser lightwave range measuring equipment with measured on the transponder and described the accuracy of slant range.

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Research on the drone detection based on the radar (레이다 기반의 드론 탐지 기법 연구)

  • Moon, Minjung;Song, Kyungmin;Yu, Sujin;Sim, Hyunseok;Lee, Wookyung
    • Journal of Satellite, Information and Communications
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    • v.12 no.2
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    • pp.99-103
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    • 2017
  • Recently, acccording to price decline and miniaturization of drone, it is increased dramatically that drone usage in various category including military and private sectors. In accordance with popular usage, There is a increasing risk of safety accident, national security and public privacy problem. Hence there is a high demand for study and analysis applicable to the related technology and anti-drone method including drone detection and jamming. In general, it is extremely difficult to detect and recognize drones using conventional sensors. In this paper, we classify drone detection technology and Drone detection experiments are performed using CW RADAR to obtain and analyze micro-doppler pattern. This preliminary study aims to provide fundamental theory on radar drone detection and experimental test results such that in-depth anti-drone technology can be established in future.