• Title/Summary/Keyword: 표적탐지

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Study on radar deployment for improving the ballistic missile detection probability (탄도미사일 탐지 확률 향상을 위한 레이더 배치에 관한 연구)

  • Park, Tae-yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.518-520
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    • 2014
  • Radar Cross Section(RCS) is very important factor to detect target by radar. Even if the same target, RCS value is significantly different according to the direction facing the radar. Therefore, it is advantageous to place the radar, where RCS is larger to increase the probability of detecting a target with a radar. North Korean ballistic missiles are major threat to our security, ballistic missiles should be detected early and traced for ballistic missile defense. In this paper, it is analyzed that ballistic missile's RCS characteristics and trajectory and proposed a way of radar deployment to improve the detection probability of ballistic missile.

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A Study on Robust Moving Target Detection for Background Environment (배경환경에 강인한 이동표적 탐지기법 연구)

  • Kang, Suk-Jong;Kim, Do-Jong;Bae, Hyeon-Deok
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.48 no.5
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    • pp.55-63
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    • 2011
  • This paper describes new moving target detection technique combining two algorithms to detect targets and reject clutters in video frame images for surveillance system: One obtains the region of moving target using phase correlation method using $N{\times}M$ sub-block images in frequency domain. The other uses adaptive threshold using learning weight for extracting target candidates in subtracted image. The block region with moving target can be obtained using the characteristics that the highest value of phase correlation depends on the movement of largest image in block. This technique can be used in camera motion environment calculating and compensating camera movement using FFT phase correlation between input video frame images. The experimental results show that the proposed algorithm accurately detects target(s) with a low false alarm rate in variety environment using the receiver operating characteristics (ROC) curve.

Maritime Target Image Generation and Detection in a Sea Clutter Environment at High Grazing Angle (높은 지표각에서 해상 클러터 환경을 고려한 해상 표적 영상 생성 및 탐지)

  • Jin, Seung-Hyeon;Lee, Kyung-Min;Woo, Seon-Keol;Kim, Yoon-Jin;Kwon, Jun-Beom;Kim, Hong-Rak;Kim, Kyung-Tae
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.30 no.5
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    • pp.407-417
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    • 2019
  • When a free-falling ballistic missile intercepts a maritime target in a sea clutter environment at high grazing angle, detection performance of the ballistic missile's seeker can be rapidly degraded by the effect of sea clutter. To solve this problem, it is necessary to verify the performance of maritime target detection via simulations based on various scenarios. We accomplish this by applying a two-dimensional cell -averaging constant false alarm rate detector to a two-dimensional radar image, which is generated by merging a sea clutter signal at high grazing angle with a maritime target signal corresponding to the signal-to-clutter ratio. Simulation results using a computer-aided design model and commercial numerical electromagnetic solver in various scenarios show that the performance of maritime target detection significantly depends on the grazing and azimuth angles.

Target Geolocation Method Using Target Detection in Infrared Images (적외선 영상의 탐지 정보를 이용한 표적 geolocation 기법)

  • Kim, Jae-Hyup;Jeong, Jun-Ho;Seo, Jeong-Jae;Lee, Jong-Min;Moon, Young-Shik
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.3
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    • pp.57-67
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    • 2015
  • In this paper, we proposed the geolocation method using target detection information in infrared images. Our method was applied to geolocation system of hostile targets in ground-to-ground field. The major distortion that has bad effect of geolocation was composed of optic, topography, GPS(Global Positioning System) and IMU(Inertial Measurement Unit) of reconnaissance unit. We proposed enhanced geolocation method to cope with optic and topography distortion using polynomial fitting and slant-range calculation model to overcome earth curvature problem, and the result showed that the performance of our method was good for system requirements.

Target Detection Technique in a DBS(Doppler Beam Sharpening) Image (DBS(Doppler Beam Sharpening) 영상에서 표적 탐지 방안)

  • Kong, Young-Joo;Kwon, Jun-Beom;Kim, Hong-Rak;Woo, Seon-Keol
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.28 no.5
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    • pp.373-381
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    • 2017
  • DBS(Doppler Beam Sharpening) algorithm is a way to improve azimuth resolution performance in radar. Since DBS image includes the is information about the search area of radar, various clutter components exist besides the target to be detected. To detect and track the desired target in a DBS image, it must be able to identify a target and the clutter components. In this paper, we describe how to use image size and terrain information(DTED) to identify the target in a DBS image. By using morphological filter and chain code, it acquires image size and excludes the clutter components. By matching with DTED, we determine target.

Target Localization Method using the Detection Signal Strength of Seismic Sensors for Surveillance Reconnaissance Sensor Network (감시정찰 센서 네트워크에서의 지진동센서 탐지 신호 세기를 이용한 표적 측위 방법)

  • Hyeon-Soo Im;In-Yong Hwang;Hyung-Seok Kim;Sang-Heon Shin
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1291-1298
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    • 2023
  • Surveillance reconnaissance sensor network is used for surveillance in wartime and area of operation. In this paper, we propose a target localization method using the detection signal strength of seismic sensors. Relay equipment calculates the target location using coordinate information and detection signal strength of the seismic sensors. Target localization error deviation due to environmental factors was minimized by subtracting the dynamic offset when calculating the target location. Field test shows improvement of target localization through reduction of errors. The average error was decreased to 3.62m. Up to 62% improved result was obtained compared to weighted centroid localization method.

Beam Scheduling and Task Design Method using TaP Algorithm at Multifunction Radar System (다기능 레이다 시스템에서 TaP(Time and Priority) 알고리즘을 이용한 빔 스케줄링 방안 및 Task 설계방법)

  • Cho, In-Cheol;Hyun, Jun-Seok;Yoo, Dong-Gil;Shon, Sung-Hwan;Cho, Won-Min;Song, Jun-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.1
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    • pp.61-68
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    • 2021
  • In the past, radars have been classified into fire control radars, detection radars, tracking radars, and image acquisition radars according to the characteristics of the mission. However, multi-function radars perform various tasks within a single system, such as target detection, tracking, identification friend or foe, jammer detection and response. Therefore, efficient resource management is essential to operate multi-function radars with limited resources. In particular, the target threat for tracking the detected target and the method of selecting the tracking cycle based on this is an important issue. If focus on tracking a threat target, Radar can't efficiently manage the targets detected in other areas, and if you focus on detection, tracking performance may decrease. Therefore, effective scheduling is essential. In this paper, we propose the TaP (Time and Priority) algorithm, which is a multi-functional radar scheduling scheme, and a software design method to construct it.

Performance analysis of automatic target tracking algorithms based on analysis of sea trial data in diver detection sonar (수영자 탐지 소나에서의 해상실험 데이터 분석 기반 자동 표적 추적 알고리즘 성능 분석)

  • Lee, Hae-Ho;Kwon, Sung-Chur;Oh, Won-Tcheon;Shin, Kee-Cheol
    • The Journal of the Acoustical Society of Korea
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    • v.38 no.4
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    • pp.415-426
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    • 2019
  • In this paper, we discussed automatic target tracking algorithms for diver detection sonar that observes penetration forces of coastal military installations and major infrastructures. First of all, we analyzed sea trial data in diver detection sonar and composed automatic target tracking algorithms based on track existence probability as track quality measure in clutter environment. In particular, these are presented track management algorithms which include track initiation, confirmation, termination, merging and target tracking algorithms which include single target tracking IPDAF (Integrated Probabilistic Data Association Filter) and multitarget tracking LMIPDAF (Linear Multi-target Integrated Probabilistic Data Association Filter). And we analyzed performances of automatic target tracking algorithms using sea trial data and monte carlo simulation data.

방공 레이다의 발전 추세(2)(위상 배열 레이다)

  • Lee, Yong-Hui;Lee, Un-Dong
    • Defense and Technology
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    • no.4 s.230
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    • pp.38-47
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    • 1998
  • 레이다는 저고도 표적에 대한 탐지능력 ECCM 능력, 대방사유도탄에 대한 대처능력이 우수해야 하며, 동시다발 표적에 대한 탐지와 추적능력을 보유해야 하고 다기능 및 다목적 용도를 위해서 또는 시시각각으로 변하는 상황에 대처하기 위해서는 시스템의 융통성과 잠재능력이 커야 한다.

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Real-Time Automatic Target Detection in CCD image (CCD 영상에서의 실시간 자동 표적 탐지 알고리즘)

  • 유정재;선선구;박현욱
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.6
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    • pp.99-108
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    • 2004
  • In this paper, a new fast detection and clutter rejection method is proposed for CCD-image-based Automatic Target Detection System. For defence application, fast computation is a critical point, thus we concentrated on the ability to detect various targets with simple computation. In training stage, 1D template set is generated by regional vertical projection and K-means clustering, and binary tree structure is adopted to reduce the number of template matching in test stage. We also use adaptive skip-width by Correlation-based Adaptive Predictive Search(CAPS) to further improve the detecting speed. In clutter rejection stage, we obtain Fourier Descriptor coefficients from boundary information, which are useful to rejected clutters.