• 제목/요약/키워드: Target Technology

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갈륨에 기초한 액체금속 X밴드 레이더 반사신호 측정 (X-band RADAR Reflected Signal Measurement of Gallium-based Liquid Metal)

  • 김민혁;강세혁;두석주;김대영
    • 한국군사과학기술학회지
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    • 제26권3호
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    • pp.246-251
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    • 2023
  • RADAR(Radio Detection and Ranging) is an important system for surveillance and reconnaissance by detecting a reflected signal which obtains the range from the radar to the target, and the velocity of the target. The magnitude of the reflected signal varies due to the radar cross section of the target, characteristic of the transmission and reception antenna, distance between the radar and the target, and power and wavelength of the transmitted signal. Thus, the RCS is the important characteristic of the target to determine if the target can be observed by the RADAR system. It is based on the material and shape of the target. We have measured the reflection signal of a simple square-shaped (20 × 20 cm) target made of a new material, a gallium-based liquid metal alloy and compared that of well-known metals including copper, aluminum. The magnitude of reflected signal of the aluminum target was the largest and it was 2.4 times larger than that of the liquid metal target. We also investigated the effect of the shape by measuring reflectance of the F-22 3D model(~1/95 ratio) target covered with/without copper, aluminium, and liquid metal. The largest magnitude of the reflected signal measured from side-view with the copper-covered F-22 model was 2.6 times greater than that of liquid metal. The reflectance study of the liquid metal would be helpful for liquid metal-based frequency selective surface or metamaterials.

Compressed Sensing-based Multiple-target Tracking Algorithm for Ad Hoc Camera Sensor Networks

  • Lu, Xu;Cheng, Lianglun;Liu, Jun;Chen, Rongjun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권3호
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    • pp.1287-1300
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    • 2018
  • Target-tracking algorithm based on ad hoc camera sensor networks (ACSNs) utilizes the distributed observation capability of nodes to achieve accurate target tracking. A compressed sensing-based multiple-target tracking algorithm (CSMTTA) for ACSNs is proposed in this work based on the study of camera node observation projection model and compressed sensing model. The proposed algorithm includes reconfiguration of observed signals and evaluation of target locations. It reconfigures observed signals by solving the convex optimization of L1-norm least and forecasts node group to evaluate a target location by the motion features of the target. Simulation results show that CSMTTA can recover the subtracted observation information accurately under the condition of sparse sampling to a high target-tracking accuracy and accomplish the distributed tracking task of multiple mobile targets.

바이스태틱 ISAR 영상을 이용한 표적식별 성능 분석 (Analysis of Target Identification Performances Using Bistatic ISAR Images)

  • 이승재;이성현;강민석;양은정;김경태
    • 한국전자파학회논문지
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    • 제27권6호
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    • pp.566-576
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    • 2016
  • 바이스태틱 역합성 개구 레이다(Inverse Synthetic Aperture Radar: ISAR) 영상은 표적에 대한 2차원 산란분포를 나타내고, 이는 바이스태틱 표적식별에 이용될 수 있다. 하지만 바이스태틱 ISAR 영상은 바이스태틱 기하구조에 따라 그 산란 메커니즘이 다양하게 변화하고, 고유의 왜곡 때문에 표적의 정확한 거리-도플러 정보를 나타낼 수 없다. 따라서 이를 이용한 표적식별에서 효율적인 훈련 DB 구축은 핵심사항이 된다. 최근 모노스태틱 표적식별에서 효율적인 성능을 보였던 비행 시나리오 기반 훈련 데이터베이스(database: DB) 구축 기법을 바이스태틱 고해상도 거리측면도(High Resolution Range Profile: HRRP) 표적식별에 적용하여 바이스태틱 기하구조 내 효율적인 훈련 DB를 구축하는 연구가 수행되었고, 상기 연구는 레이다와 표적 사이의 거리가 충분히 먼 경우, 적은 양의 훈련 DB로도 높은 표적식별 성능을 획득할 수 있음을 보여주었다. 따라서 본 논문에서는 비행 시나리오 기반 훈련 DB 구축 기법을 바이스태틱 ISAR 영상 표적식별에 적용한 후, 그 성능과 효율성을 분석한다.

A New Input Estimation Algorithm for Target Tracking Problem

  • Lee, Hungu;Tahk, Min-Jea
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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    • pp.323-328
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    • 1998
  • In this paper, a new input estimation algorithm is proposed for target tracking problem. The unknown target maneuver is approximated by a linear combination of independent time functions and the coefficients are estimated by using a weighted least-squares estimation technique. The proposed algorithm is verified by computer simulation of a realistic two-dimensional tracking problem. The proposed algorithm provides significant improvements in estimation performance over the conventional input estimation techniques based on the constant-input assumption.

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수중음향을 이용한 노무라입깃해파리의 행동 및 음향산란특성 (In situ behavioral and acoustic characteristics of the large jellyfish Nemopliema nomurai by target tracking)

  • 윤은아;황두진;신형호
    • 수산해양기술연구
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    • 제51권2호
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    • pp.272-278
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    • 2015
  • The aim of this study is to find out the behavior and acoustic backscattering of the large jellyfish Nemopliema nomurai using hydroacoustics in situ. N. nomurai was distributed at depths ranging from 10~15 m during the day. Regarding the behavior of N. nomurai, there was no significant change in depth, and 3D tortuosity was not high. The vertical direction was ${\pm}10^{\circ}$ from the horizontal, and moving speed was $0.9{\sim}1.5\;m\;s^{-1}$. With regard to hydro-acoustical characteristics, the mean TS of N. nomurai ranged from -69.6~-56.0 dB at 38 kHz and -69.4~-54.5 dB at 120 kHz. TS variation (Max TS-Min TS) at 38 and 120 kHz was 0~10.2 dB and 0.2~16.0 dB, respectively. Mean TS and TS variation (Max TS-Min TS) of N. nomurai were higher at 120 kHz than at 38 kHz. The results showed that the use of hydroacoustics was effective in estimating the distribution depth, behavior, and acoustic characteristics of the target.

레이더 표적 구분을 위한 1차원 산란점 추출 기법 알고리즘들의 성능에 관한 비교 연구 (A Study on the Comparision of One-Dimensional Scattering Extraction Algorithms for Radar Target Identification)

  • 정호령;서동규;김경태;김효태
    • 한국전자파학회:학술대회논문집
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    • 한국전자파학회 2003년도 종합학술발표회 논문집 Vol.13 No.1
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    • pp.193-197
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    • 2003
  • Radar target identification can be achieved by using various radar signatures, such as one-dimensional(1-D) range profile, 2-D radar images, and 1-D or 2-D scattering centers on a target. In this letter, five 1-D scattering center extraction methods are discussed - TLS(Total Least Square)-Prony, Fast Root-MUSIC (Multiple Signal Classification), Matrix-Pencil, GEESE(GEneralized Eigenvalues utilizing Signal-subspace Eigenvalues), TLS-ESPRIT(Total Least Squares - Estimation of Signal Parameters via Rotational Invariance Technique), These methods are compared in the context of estimation accuracy as well as a computational efficiency using a noisy data. Finally these methods are applied to the target classification experiment with the measured data in the POSTECH compact range facility.

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Effects of the Micro-hole Target Structures on the Laser-driven Energetic Proton Generation

  • Pae, Ki-Hong;Choi, Il-Woo;Hahn, Sang-June;Lee, Jong-Min
    • Journal of the Optical Society of Korea
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    • 제13권1호
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    • pp.48-52
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    • 2009
  • Micro-hole targets are studied to generate energetic protons from laser-thin foil targets by using 2-dimensional particle-in-cell simulations. By using a small hole, the maximum energy of the accelerated proton is increased to 4 times higher than that from a simple planar target. The main proton acceleration mechanism of the hole-targets is the electrostatic field created between the fast electrons accelerated by the laser pulse ponderomotive force combined with the vacuum heating and the target rear surface. But in this case, the proton angular distribution shows double-peak shape, which means poor collimation and low current density. By using a small cone-shaped hole, the maximum proton energy is increased 3 times higher than that from a simple planar target. Furthermore, the angular distribution of the accelerated protons shows good collimation.

Maneuvering Target Tracking Using Error Monitoring

  • Fang, Tae-Hyun;Park, Jae-Weon;Hong, Keum-Shik
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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    • pp.329-334
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    • 1998
  • This work is concerned with the problem of tracking a maneuvering target. In this paper, an error monitoring and recovery method of perception net is utilized to improve tracking performance for a highly maneuvering tar-get. Many researches have been performed in tracking a maneuvering target. The conventional Interacting Multiple Model (IMM) filter is well known as a suboptimal hybrid filter that has been shown to be one of the most cost-effective hybrid state estimation scheme. The subfilters of IMM can be considered as fusing its initial value with new measurements. This approach is also shown in this paper. Perception net based error monitoring and recovery technique, which is a kind of geometric data fusion, makes it possible to monitor errors and to calibrate possible biases involved in sensed data and extracted features. Both detecting a maneuvering target and compensating the estimated state can be achieved by employing the properly implemented error monitoring and recovery technique. The IMM filter which employing the error monitoring and recovery technique shows good tracking performance for a highly maneuvering target as well as it reduces maximum values of estimation errors when maneuvering starts and finishes. The effectiveness of the pro-posed method is validated through simulation by comparing it with the conventional IMM algorithm.

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능동표적신호합성 알고리듬의 실시간 구현 (Realtime active target signal simulation)

  • 김희성;신기철;김우식;한동훈;최상문;김재수
    • 한국해양공학회지
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    • 제11권3호
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    • pp.163-169
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    • 1997
  • The simulation of target-scattered echo with the moving sonar platform and target in 3-dimensional ocean environment is essential to validate and evaluate the performance of a sonar system. This paper presents the improved target signal simulation on the basis of the highlight(HL) model and its realtime algorithm. In order to simulate the scattering highlight, the highlight is represented as a directional scatterer. The realtime generation algorithm of the target signal is realized by use of DSP chip, TMS320C40, where the 40 channels are equally separated to form a parallel processing task in 4 processors. The presented realtime-version of target signal simulation can be used as a target signal simulator in the development of ACM(Acoustic Counter Measure) and advanced sonar signal processing techniques.

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