• Journal of Convergence for Information Technology
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• v.7 no.2
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• pp.37-42
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• 2017

In order to estimate chaff RCS, we suggest here a novel method using the probability distribution. Normally, a chaff is assumed that it is a thin dipole antenna and the RCS can be calculated by the scattering wave theory. Most of the theoretical methods presented were mainly focusing on a single chaff cloud. In this paper, the RCS calculation was done for two or more chaff clouds and the changes of RCS with azimuth angle were observed. Matlab was used for presenting the probability distribution of chaff clouds and RCS calculation. A more accurate RCS estimation method is suggested by estimating the number of chaffs except the blocked elements.

• Journal of the Korean earth science society
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• v.34 no.1
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• pp.1-12
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• 2013

To effectively remove chaff echoes, which are often misidentified as precipitation echoes on weather radars, this study examines the relationship between the radar reflectivity and each of dual polarimetric parameters. The dual polarimetric parameters are collected only for the echo areas identified as chaff echoes on the NIMR X-band dual polarization radar. Overall, the polarimetric parameters (i.e., reflectivity, differential reflectivity, cross correlation coefficient, standard deviation of differential reflectivity and specific differential phase) for chaff echoes have a wider range of values than those for precipitation echoes and the chaff filaments tend to be horizontally oriented to radar beams. There appears to be a considerable overlap in the cross correlation coefficient range of chaff and precipitation echoes since some precipitation echoes have cross correlation coefficient lower than 0.8. Therefore, although the cross correlation coefficient is known to be a good variable in identifying and separating chaff echoes from precipitation echoes, it is suggested that additional care should be taken when using the cross correlation coefficient solely in removing chaff echoes.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.2
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• pp.93-103
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• 2023

Warships widely spread numerous chaffs using a blast, which form chaff clouds that create false radar cross-sections to deceive enemy radars. In this study, we established a numerical framework based on a one-way coupling of computational fluid dynamics and discrete element method to simulate the spatiotemporal distribution of chaff clouds for warships in the air. Using the framework, we investigated the effects of wind, initial chaff cartridge angle, and blast pressure on the distribution of chaff clouds. We observed three phases for the chaff cloud diffusion: radial diffusion by the explosion, omnidirectional diffusion by turbulence and collision, and gravity-induced diffusion by the difference in the fall speed. The wind moved the average position of the chaff clouds, and the diffusion due to drag force did not occur. The direction of radial diffusion by the explosion depended on the initial angle of the cartridge, and a more vertical angle led to a wider distribution of the chaffs. As the blast pressure increased, the chaff clouds spread out more widely, but the distribution difference in the direction of gravity was not significant.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.3
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• pp.690-694
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• 2008

In this paper, the computation of electromagnetic wave scattering is presented for chaff clouds which is widely used to protect an aircraft. The RCS depends on the wind, the aircraft velocity, and the atmospheric diffusion. It is assumed that the RF chaff is a thin dipole antenna and the RCS is calculated based on the scattering wave theory. The theoretical estimation and the simulation results are compared and shown a good agreement.

• Proceedings of the KAIS Fall Conference
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• 2007.11a
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• pp.222-225
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• 2007

본 논문에서는 항공기가 레이다 감시를 회피하고 미사일의 공격으로부터 효과적으로 대응하기 위한 채프의 RCS 계산 방법에 대해 다루었다. 공중에 투하된 채프의 RCS 값은 바람, 비행체의 속도, 대기확산 속도 등에 따라서 달라진다. 채프를 레이다 사용주파수 대역에서 다이폴 안테나로 가정하고, 다이폴 안테나의 산란특성 분석을 통하여 RCS 값을 예측하였다. 본 논문에서는 다이폴 모델로 계산한 채프의 RCS값을 CST-MWS를 이용하여 계산 하였으며 기존에 소개된 실험값들과 비교하여 유사한 특성을 얻었다.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.29 no.3
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• pp.233-240
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• 2018

Radar cross section (RCS) analysis of chaff clouds is essential for the accurate detection and tracking of missile targets using radar. For this purpose, we compare the performance of two existing methods of predicting RCS of chaff clouds. One method involves summing up the RCS values of individual chaffs in a cloud, while the other method predicts the RCS values using aerodynamic models based on the probability density function. In order to compare and analyze the two techniques more precisely, the RCS of a single chaff computer-aided design model consisting of a half wavelength dipole was calculated using the commercial electromagnetic numerical analysis software, FEKO 7.0, to estimate the RCS values of chaff clouds via simulation. Thus, we verified that our method using the probability density distribution model is capable of analyzing the RCS of chaff clouds more efficiently.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.6
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• pp.545-550
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• 2013

In pattern recognition field, data classification is an essential process for extracting meaningful information from data. Adaptive boosting algorithm, known as AdaBoost algorithm, is a kind of improved boosting algorithm for applying to real data analysis. It consists of weak classifiers, such as random guessing or random forest, which performance is slightly more than 50% and weights for combining the classifiers. And a strong classifier is created with the weak classifiers and the weights. In this paper, a research is performed using AdaBoost algorithm for detecting chaff echo which has similar characteristics to precipitation echo and interrupts weather forecasting. The entire process for implementing chaff echo classifier starts spatial and temporal clustering based on similarity with weather radar data. With them, learning data set is prepared that separated chaff echo and non-chaff echo, and the AdaBoost classifier is generated as a result. For verifying the classifier, actual chaff echo appearance case is applied, and it is confirmed that the classifier can distinguish chaff echo efficiently.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.4
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• pp.986-991
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• 2008

This paper presents a simulator developed for effective use of chaff which is widely employing for aircraft protection. We calculate the scattered electric field based on the aircraft and the chaff RCS. Input parameters calculated using Matlab are forwarded to the input module of the presented simulator which provides a three dimensional display fur the three different scenarios.

• Proceedings of the KAIS Fall Conference
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• 2008.05a
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• pp.234-236
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• 2008

본 논문에서는 비행체 보호를 위해 널리 사용되고 있는 채프를 설계 할 때 효과적인 다이폴의 개수를 예측하기 위한 이론적인 계산이 수행 되었다. 채프를 레이더 사용주파수 전 대역(2~12GHz)에서 다이폴 안테나로 가정하고, 다이폴 안테나의 산란특성 분석을 통하여 레이더 반사단면적(RCS : Radar Cross Section)를 예측하였다. 기존에 소개된 이론을 기초로 Matlab을 이용한 RCS 계산 프로그램을 사용하여 계산한 결과를 비교 하였다.

• 아름다운작은공간 미소공
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• v.29
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• pp.26-31
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• 2002