• Title/Summary/Keyword: radar systems

Search Result 723, Processing Time 0.029 seconds

Implementation of AESA Radar Integration Analysis System by using Heterogeneous Media

  • Min-Jung Kang
    • 한국컴퓨터정보학회논문지
    • /
    • 제29권3호
    • /
    • pp.117-125
    • /
    • 2024
  • 본 논문은 다양한 매체를 활용하여 레이다 개발에 특화된 능동 전자 주사식 위상 배열(AESA, Active Electronically Scanned Array) 레이다 통합 분석 시스템을 구현하고 제안한다. 대부분 분석 시스템은 결함의 원인을 분석하고 개선하기 위해 활용되어 시험을 수월하게 한다. 그러나 기존에 텍스트 기반의 로그 분석 시스템은 로그 정보가 많으면 직관적이지 않고 원하는 정보를 한 번에 찾기 어려워 장비 결함 발생 시 결함의 원인을 분석하기에는 한계가 있다. 따라서 본 논문의 분석 시스템은 다양한 매체를 활용한다. 본 논문에서 정의하는 매체란 텍스트 기반의 데이터를 기록하고, 데이터를 이미지 및 영상으로 전시하며 데이터를 시각화하는 것을 말한다. 제안하는 분석 시스템은 레이다 장치 간에 송수신된 데이터, 레이다 표적 탐지 추적 알고리즘 데이터 등을 분류하여 저장하고 레이다 작동 결과 및 장비 결함 정보를 실시간 전시하고 시각화한다. 이 분석 시스템을 통해 사용자에게 원하는 정보를 빠르게 제공하고 완성도 높은 레이다 개발에 도움을 준다.

FMCW 레이더에서의 1D FRI (Finite Rate of Innovation) 초고해상도 기법 적용 및 분석 (Application and Analysis of 1D FRI (Finite Rate of Innovation) Super-resolution Technique in FMCW Radar)

  • 유경우;공승현
    • 한국자동차공학회논문집
    • /
    • 제22권7호
    • /
    • pp.31-39
    • /
    • 2014
  • Recently, as Intelligent Transportation System (ITS) and self-driving system become influential in the ground transportation system, automotive radar systems have been actively studied among the various radar systems to implement the vehicle collision detection system and distance measurement system between vehicles. Most of the automotive radars are Frequency Modulated Continuous Wave (FMCW) radar type which can calculate distance and velocity of target by estimating the frequency difference between the transmitted signal and received signal. Therefore, accurate frequency estimation is very important in the FMCW radar system. For this reason, to improve the measurement accuracy of the FMCW radar, Reverse Directional FRI (RD-FRI) Super-Resolution technique which has high frequency estimation accuracy is applied to the FMCW radar system. The feasibility of the proposed technique is evaluated with simulation results and compared with FFT and conventional Super-Resolution techniques. The simulation results show that the proposed technique estimates the frequency with high accuracy and the distance with centimeter accuracy.

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

  • 김용준;유기훈;한진우
    • 한국군사과학기술학회지
    • /
    • 제22권2호
    • /
    • pp.170-178
    • /
    • 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.

레이다 정보처리를 위한 단일형 및 분산다중형 시스템에 관한 연구 (A Study on the Simplex and Distributed Multiplex type System for the Radar Data Processing)

  • 김춘길
    • 한국통신학회논문지
    • /
    • 제18권11호
    • /
    • pp.1785-1796
    • /
    • 1993
  • 본 연구는 각종 레이다로부터 얻어지는 다양한 정보를 하나의 통합된 시스템으로 처리하는 정보통합 처리시스템의 구성을 제안하였고, 제안된 시스템의 성능과 타당성 분석은 m/m/1큐 모델에 의한 시스템 시뮬레이션을 통하여 평가되었다. 또 이들 정보처리 시스템간의 연동을 위한 종합정보망을 설계하고 그 전송특성을 분석하였다. 정보통합 처리시스템의 설계에서는 정보처리 형태에 따라 단일형과 분산다중형으로 분류하려 구성하였다. 각 시스템의 구조는 실시간 처리 프로세서로서 UNIX의 메시지 큘ㄹ 사용하였으며 이들 모델 시스템의 성능 분석에는 큐잉모델을 사용하여 시스템의 정보흐름을 모델링하고 시뮬레이션을 위한 소프트웨어는 OPNET 시스템 커널과 C언어로써 작성하였다. 작성된 분석 프로세서에 의해 시스템의 지연시간과 메시지 Blocking등의 주요 큐잉요소를 관찰하고 이를 통해 분산다중형과 단일형 양모델간의 특성을 비교 검토하였다.

  • PDF

레이다 원전계/모의성능 실험실을 이용한 레이다 체계성능 시험 및 분석 (Radar system performance test and Ana lysisusing the Radar Simulative Test & Evaluation Laboratory)

  • 김우성
    • 한국군사과학기술학회지
    • /
    • 제14권6호
    • /
    • pp.1138-1143
    • /
    • 2011
  • One of the critical items in radar testing is the ability to evaluate the performance of radar systems under real operational environments. But it takes lots of time and cost to operate real targets and analyze the test results due to a large amount of data based on these complicated environments. In this paper, the Radar Simulative T&E Lab. is introduced, and the test and analysis results of the developing radar for predicting the radar system performance are described in the Radar Simulative T&E Lab. This laboratory could be used to test the far-field characteristics of antenna radiation pattern and to perform an effective radar system test and evaluation using a simulative target generator under a low cost repeating test situation.

EGI Velocity Integration Algorithm for SAR Motion Measurement

  • Lee, Soojeong;Park, Woo Jung;Park, Yong-gonjong;Park, Chan Gook;Song, Jong-Hwa;Bae, Chang-Sik
    • Journal of Positioning, Navigation, and Timing
    • /
    • 제8권4호
    • /
    • pp.175-181
    • /
    • 2019
  • This paper suggests a velocity integration algorithm for Synthetic Aperture Radar (SAR) motion measurement to reduce discontinuity of range error. When using position data from Embedded GPS/INS (EGI) to form SAR image, the discontinuity of the data degrades SAR image quality. In this paper, to reduce the discontinuity of EGI position data, EGI velocity integration is suggested which obtains navigation solution by integrating velocity data from EGI. Simulation shows that the method improves SAR image quality by reducing the discontinuity of range error. INS is a similar algorithm to EGI velocity integration in the way that it also obtains navigation solution by integrating velocity measured by IMU. Comparing INS and EGI velocity integration according to grades of IMU and GPS, EGI velocity integration is more suitable for the real system. Through this, EGI velocity integration is suggested, which improves SAR image quality more than existing algorithms.

파라미터 불확실성 및 시간지연을 갖는 레이더 김벌 안정화 시스템의 지연종속 퍼지 H 제에 (Delay Dependent Fuzzy H Control of Radar Gimbal Stabilization System with Parameter Uncertainty and Time Delay)

  • 김태식;이해창;이갑래
    • 제어로봇시스템학회논문지
    • /
    • 제11권11호
    • /
    • pp.920-929
    • /
    • 2005
  • This paper presents controller design method for nonlinear radar gimbal system with parameter uncertainty and time delay. In order to consider nonlinearity of gimbal bearing frictional torque, we firstly represent fuzzy model for the nonlinear gimbal system, which is achieved by fuzzy combination of linear models through nonlinear fuzzy membership functions. And secondly we propose a delay dependent fuzzy $H_\infty$ controller design method for the delayed fuzzy model with parameter uncertainty and design radar gimbal controller. The designed controller stabilize gimbal system and guarantee $H_\infty$ performance. A computer simulation is given to illustrate stabilized control performances of the designed controller.

Alert-Confirm 탐지 방식의 설계 및 성능 분석에 관한 연구 (A Study on Design and Analysis of an Alert-Confirm Detection Method)

  • 김은희;오현수;민사원
    • 한국군사과학기술학회지
    • /
    • 제27권2호
    • /
    • pp.140-146
    • /
    • 2024
  • Active electronically scanning antennas are faster and more flexible in beam-scheduling than mechanical antennas. Thus, they require an advanced resource management or detection methods to operate efficiently. In a surveillance radar performing periodic detection, alert-confirm detection is an excellent method to improve the cumulative detection probability by reducing the period while maintaining the detection probability. This paper proposes a design method for alert-confirm detection based on the parameters of the conventional design. We developed a simulator based on simulink@matworks and verified the result through Monte Carlo simulation.

Fuzzy-Model-Based Kalman Filter for Radar Tracking

  • Lee, Bum-Jik;Joo, Young-Hoon;Park, Jin-Bae
    • 한국지능시스템학회:학술대회논문집
    • /
    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
    • /
    • pp.311-314
    • /
    • 2003
  • In radar tracking, since the sensor measures range, azimuth and elevation angle of a target, the measurement equation is nonlinear and the extended Kalman filter (EKF) is applied to nonlinear estimation. The conventional EKF has been widely used as a nonlinear filter for radar tracking, but the considerably large measurement error due to the linearization of nonlinear function in highly nonlinear situations may deteriorate the performance of the EKF. To solve this problem, a fuzzy-model-based Kalman filter (FMBKF) is proposed for radar tracking. The FMBKP uses a local model approximation based on a TS fuzzy model instead of a Jacobian matrix to linearize nonlinear measurement equation. The hybrid GA and RLS method is used to identify the premise and the consequent parameters and the rule numbers of this TS fuzzy model. In two-dimensional radar tracking problem, the proposed method is compared with the conventional EKF.

  • PDF

레이다 항적융합 연구의 최근 동향 (A Survey on Track Fusion for Radar Target Tracking)

  • 최원용;홍순목;이동관;정재경
    • 한국군사과학기술학회지
    • /
    • 제11권1호
    • /
    • pp.85-92
    • /
    • 2008
  • An architecture for multiple radar tracking systems can be broadly categorized according to the methods in which the tracking functions are performed : central-level tracking and distributed tracking. In the central-level tracking, target tracking is performed using observations from all radar systems. This architecture provides optimal solution to target tracking. In distributed tracking, tracking is performed at each radar system and the composite track information is formed through track fusion integrating multiple radar-level tracks. Track-to-track fusion and track-to-track association are required to perform in this architecture. In this paper, issues and recent research on the two tracking architectures are surveyed.