• Title/Summary/Keyword: radar target

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A Study on the Analysis and the Test of the Reflected Signal about Target in the VHF Band (초단파 대역의 표적 반사 신호 시험 및 분석에 대한 연구)

  • Kim, Ki-Jung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.5
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    • pp.813-818
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    • 2020
  • This study is a study on the characteristics and analysis of the reflected signals about the target in the VHF band. In advance, the RCS(Radar Cross Section) characteristics of the target were analyzed by using the CST electromagnetic analysis tool, and the target was detected by using the Bi-Static method, and the change in the signal-to-noise ratio was tested. The test results show similar results with no significant fluctuations in the signal-to-noise ratio characteristics for the detection of signals reflected on the target, such as the results for RCS analysis according to the pre-incidence angle. In the future, this study will be used for RCS analysis of the targets and target detection of Radar in VHF/UHF band with relatively large wavelength compared to the X band.

Synthetic Aperture Radar Target Detection Using Multi-Cell Averaging CFAR Scheme (다중 셀 평균 기반 CFAR 검출을 이용한 SAR 영상 표적 탐지 기법)

  • Song, Woo-Young;Rho, Soo-Hyun;Jung, Chul-Ho;Kwag, Young-Kil
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.21 no.2
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    • pp.164-169
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    • 2010
  • Since the range and Doppler resolution of the synthetic aperture radar(SAR) image becomes very high, the target detection accuracy can be significantly increased, but the computational burden is also increased. The conventional single-cell based CFAR detector performs the target detection on every single cell basis, thus it causes the serious increment of the computational load. In this paper, the improved two-step MCA-CFAR detector is proposed for the improvement of the target detection as well as the reduction of computational load: the first step is to use the MCA-CFAR, and the second step is to use the single-cell based CFAR detection in the expected target area for final decision. The performance of the proposed algorithm is compared with the conventional single-cell based CFAR and MCA-CFAR on SAR images.

A Comparative Study of Algorithms for Multi-Aspect Target Classifications (다중 각도 정보를 이용한 표적 구분 알고리즘 비교에 관한 연구)

  • 정호령;김경태;김효태
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.15 no.6
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    • pp.579-589
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    • 2004
  • The radar signals are generally very sensitive to relative orientations between radar and target. Thus, the performance of a target recognition system significantly deteriorates as the region of aspect angles becomes broader. To address this difficulty, in this paper, we propose a method based on the multi-aspect information in order to improve the classification capability ever for a wide angular region. First, range profiles are used to extract feature vectors based on the central moments and principal component analysis(PCA). Then, a classifier with the use of multi-aspect information is applied to them, yielding an additional improvement of target recognition capability. There are two different strategies among the classifiers that can fuse the information from multi-aspect radar signals: independent methodology and dependent methodology. In this study, the performances of the two strategies are compared within the frame work of target recognition. The radar cross section(RCS) data of six aircraft models measured at compact range of Pohang University of Science and Technology are used to demonstrate and compare the performances of the two strategies.

Iterative Target Localization Method for Distributed MIMO Radar System (반복적 연산을 이용하는 Distributed MIMO 레이다 시스템의 위치 추정 기법)

  • Shin, Hyuksoo;Chung, Young-Seek;Yang, Hoon-Gee;Kim, Jong-mann;Chung, Wonzoo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.28 no.10
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    • pp.819-824
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    • 2017
  • This paper presents a target localization scheme for distributed Multi-input Multi-output(MIMO) radar system using ToA measurements obtained from multiple transmitter and receiver pairs. The proposed method can locate the target from an arbitrary initial point by iteratively finding the Taylor linear approximation equation. The simulation results show that proposed method achieves the better mean square error(MSE) performance than the existing target localization methods, and furthermore, attains Cramer-Rao Lower Bound(CRLB).

Integrated Simulator of Airborne Multi-function Radar Resource Manager and Environment Model (항공기용 다기능 레이더 자원 관리자 및 환경 통합 시뮬레이터)

  • Park, Jung-Woo;Jang, Dae-Sung;Choi, Han-Lim;Tahk, Min-Jea;Roh, Ji-Eun;Kim, Seon-Joo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.41 no.7
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    • pp.577-587
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    • 2013
  • In this paper, an integrated radar resource manager for an airborne multi-function radar and a radar-environment simulator are presented. The radar-environment simulator includes target detection/measurement models, a nonlinear tracking filter for the airborne radar and an effective target generation algorithm. The structures and functions of modules in the radar resource manager are established and validated by the radar-environment simulator.

A Multi-target Tracking Algorithm for Application to Adaptive Cruise Control

  • Moon Il-ki;Yi Kyongsu;Cavency Derek;Hedrick J. Karl
    • Journal of Mechanical Science and Technology
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    • v.19 no.9
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    • pp.1742-1752
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    • 2005
  • This paper presents a Multiple Target Tracking (MTT) Adaptive Cruise Control (ACC) system which consists of three parts; a multi-model-based multi-target state estimator, a primary vehicular target determination algorithm, and a single-target adaptive cruise control algorithm. Three motion models, which are validated using simulated and experimental data, are adopted to distinguish large lateral motions from longitudinally excited motions. The improvement in the state estimation performance when using three models is verified in target tracking simulations. However, the performance and safety benefits of a multi-model-based MTT-ACC system is investigated via simulations using real driving radar sensor data. The MTT-ACC system is tested under lane changing situations to examine how much the system performance is improved when multiple models are incorporated. Simulation results show system response that is more realistic and reflective of actual human driving behavior.

A Study on the Improvement of the Target Generating Methodology Using Random Variables (확률변수를 이용한 레이다 시뮬레이터의 상대선박 출현방법의 개선에 관한 연구)

  • 임남균;김환수
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 1998.04a
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    • pp.83-89
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    • 1998
  • In case of Radar Simulator ,the target ships should be generated and displayed on the monitor to provide the trainee with the feeling of real situation. The scenario methodology, which has been developed and used in Korea so far, however, has a fixed scenario, in which target ships are generated in the same manner at all time. As a result, the Radar simulator developed in Korea so far was in lack of training efficiency, as the trainee can get earily familiarized with the fixed scenaio. The paper, therefore, suggests the target ship generating methodology using random variables to improve the training efficiency of the existing simulator. In generating the target ships using this methodology, the speed, distance between the ships , and time interval of ships and time of ships were considered as a major factors which dterminie the ship's movements. The new methodology suggested was examined and found to generate target ships successfully giving a trainee the feeling of real situation.

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Analysis of Radar Clutter Data and Models for Terrain and Sea (레이다 클러터 데이터 및 모델에 관한 연구)

  • 이용택;서한교;김영수
    • The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
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    • v.3 no.2
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    • pp.66-78
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    • 1992
  • Available data for the radar clutter, and the empirical and the theoretical models for the radar clutter have been collected and analyzed. Data sets and models from the remote sensing field have been studied extensively. Although the grazing angles used in remote sensing is larger than the angles normally encountered in radar clutter application, remote sensing field has the merit of abundance of data in much more detailed target classes. The remote sensing model is also superior to the normally used clutter models in the sense that each target class has its own model, rather than being generally characterized by assumed roughness parameters.

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Maximum Power Waveform Design for Bistatic MIMO Radar System

  • Shin, Hyuksoo;Yeo, Kwang-Goo;Yang, Hoongee;Chung, Youngseek;Kim, Jongman;Chung, Wonzoo
    • IEIE Transactions on Smart Processing and Computing
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    • v.3 no.4
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    • pp.167-172
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    • 2014
  • In this paper we propose a waveform design algorithm that localizes the maximum output power in the target direction. We extend existing monostatic radar optimal waveform design schemes to bistatic multiple-input multiple-output (MIMO) radar systems. The algorithm simultaneously calculates the direction of departure (DoD) and the direction of arrival (DoA) using a two-dimensional multiple signal classification (MUSIC) method, and successfully localizes the maximum transmitted power to the target locations by exploiting the calculated DoD. The simulation results confirm the performance of the proposed algorithm.

Target Measurement Error Reduction Technique of Suboptimal Binary Integration Radar (부 최적 이진누적 적용 레이더의 표적 측정오차 감소 기법)

  • Nam, Chang-Ho;Choi, Seong-Hee;Ra, Sung-Woong
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.48 no.9
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    • pp.65-72
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    • 2011
  • A binary integration is one of sub-optimal pulse integration which decides detection based on discriminating m successful detections out of n trials in radar systems using multiple pulse repetition frequencies. This paper introduces target measurement error reduction technique to reduce azimuth errors in suboptimal binary integration radar which applies the near value by m rather than the optimal m and verifies the performance by analyzing the experimental data measured from real radar.