• Title/Summary/Keyword: 비균질 클러터

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Performance Improvement of a Variability-index CFAR Detector for Heterogeneous Environment (비균질 환경에 강인한 검출기를 위한 변동 지수 CFAR의 성능 향상)

  • Shin, Jong-Woo;Kim, Wan-Jin;Do, Dae-Won;Lee, Dong-Hun;Kim, Hyoung-Nam
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.49 no.3
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    • pp.37-46
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    • 2012
  • In RADAR and SONAR detection systems, noise environment can be classified into homogeneous and heterogeneous environment. Especially heterogeneous environments are modelled as target masking and clutter edge. Since the variability-index (VI) CFAR, a composed CFAR algorithm, dynamically selects one of the mean-level algorithms based on the VI and the MR (mean ratio) test, it is robust to various environments. However, the VI CFAR still suffers from lowered detection probabilities in heterogeneous environments. To overcome these problems, we propose an improved VI CFAR processor where TM (trimmed mean) CFAR and a sub-windowing technique are introduced to minimize the degradation of the detection probabilities appeared in heterogeneous environments. Computer simulation results show that the proposed method has the better performance in terms of detection probability and false alarm probability compared to the VI CFAR and single CFAR algorithms.

Method for Robust Ground Ranging Using Monopulse Radar in Heterogeneous Clutter Environment (모노펄스 레이다를 이용한 비균질 클러터 환경에서의 강건한 지면거리측정 방법)

  • Son, Jegyung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.24 no.6
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    • pp.602-609
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    • 2021
  • Aircraft radar has special function which is ranging from aircraft to ground of antenna boresight. Because ranging information is used to calibrate altitude of aircraft or to drop a conventional bomb, the measuring have to be precise and robust. Therefore, we propose a simple and efficient method using monopulse radar for ground ranging. Proposed method calculates balancing weight according to linearity of monopulse ratio and mixes two ranging measurements in proportional to the weight. By exploiting balancing weight, radar is able to react to various environment as monopulse ratio contains characteristics of clutter environment. As a result, robust ranging information can be achieved. We use DEM(Digital Elevation Model) in order to simulate heterogeneous environment. In experimental result, it is shown that proposed method shows better accuracy and precision in any environment.

MXTM-CFAR Processor and Its Performance Analysis (MXTM-CFAR 처리기와 그 성능분석)

  • 김재곤;김응태;송익호;김형명
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.17 no.7
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    • pp.719-729
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    • 1992
  • An improved MXTM (maximum trimmed mean) -CFAR (constant false alarm rate) processor is proposed to reduce false alarm rates In detecting radar targets and Its performance character is ticsare analyzed to be compared with those of other CFAR processors. The proposed MXTM-CFAR processor is obtained by combining the GO (greatest of ) -CFAR processor reducing excessive falsealarm rate at riutter edges with the TM-CFAR processor showing good performances In homo-geneous Jnonhornog eneous background. Performance analyses have been done by computing detection probability, constant false alarm rate and detection thresholds under the homogeneous or multiple target environments and at the clutter edges. Analysis results how that the proposed CFAR processor maintains its performance as good as those of,05(order statistics) and TM-CFAR inhomogeneous and multiple target environments and Can reduce the false alarm rate at clutter edges. Overall computing time hfs been also reduced.

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Knowledge-Based Clutter Suppression Algorithm Using Cell under Test Data Only (Cell under Test 데이터만을 이용한 사전정보 기반의 클러터 억제 알고리즘)

  • Jeon, Hyeonmu;Yang, Dong-Hyeuk;Chung, Yong-Seek;Chung, Won-zoo;Kim, Jong-mann;Yang, Hoon-Gee
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.28 no.10
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    • pp.825-831
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    • 2017
  • Radar clutter in real environment is in general heterogeneous and especially nonstationary if radar geometry is of non-sidelooking monostatic structure or bistatic structure. These clutter properties lead to the insufficient number of secondary data of IID(Independent identically distributed) property, conclusively deteriorate clutter suppression performance. In this paper, we propose a clutter suppression algorithm that estimates the clutter signal belonging to cull under test via calculation using only prior information, rather than using the secondary data. Through analyzing the angle-Doppler spectrum of the clutter signal, we show the estimation of the clutter signal using prior information only is possible and present the derivation of a clutter suppression algorithm through eigen-value analysis. Finally, we show the performance of the proposed algorithm by simulation.