• 대한전기학회:학술대회논문집
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• 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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• pp.3-6
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• 1988

The UCERSS algorithm is an extended MUSIC which is used to estimate incident angles of multiple wide band signals. The purpose of this paper is to extend the UCERSS in order to estimate the direction of arrivals of multiple wide band signals in multipath environment. The modifications of the UCERSS result in the wide band spatial smoothing and the UNSS approaches. Computer simulation results indicate that the performances of the UNSS are superior to those of the UCERSS and the wide band spatial smoothing method.

• Transactions on Electrical and Electronic Materials
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• 제6권5호
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• pp.229-232
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• 2005

Direct characterization of band alignment at chemical bath deposition $(CBD)-CdS/Cu_{0.93}(In_{1-x}Ga_x)Se_2$ has been carried out by photoemission spectroscopy (PES) and inverse photoemission spectroscopy (IPES). Ar ion beam etching at the condition of the low ion kinetic energy of 400 eV yields a removal of surface contamination as well as successful development of intrinsic feature of each layer and the interfaces. Especially interior regions of the wide gap CIGS layers with a band gap of $1.4\~1.6\;eV$ were successfully exposed. IPES spectra revealed that conduction band offset (CBO) at the interface region over the wide gap CIGS of x = 0.60 and 0.75 was negative, where the conduction band minimum of CdS was lower than that of CIGS. It was also observed that an energy spacing between conduction band minimum (CBM) of CdS layer and valance band maximum (VBM) of $Cu_{0.93}(In_{0.25}Ga_{0.75})Se_2$ layer at interface region was no wider than that of the interface over the $Cu_{0.93}(In_{0.60}Ga_{0.40})Se_2$ layer.

• 한국음향학회지
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• 제8권4호
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• pp.44-52
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• 1989

UCERSS (Unit Circle Eigendecomposition Rational Signal Subspace) 알고리듬은 MUSIC(MUltiple Signal Classification) 알고리듬을 2차원으로 확장하여 단위원 상에서의 eigendecomposition을 이용함으로써 다수의 광대역 신호의 입사각을 추정해 왔다. 이 논문의 목적은 신호대잡음비가 아주 낮은 경우에도 다수의 광대역 신호의 입사각을 추정할 수 있도록 UCERSS 알고리듬을 개선하는데 있다. 잡음 성분을 술이기 위해 covariance difference 행렬을 이용한 ESPRIT(Estimation of Signal Parameter via Rotational Invariance Technique) 알고리듬을 UCERSS 알고리듬과 결합하여 2차원으로 확장시킨 wide band ESPRIT 알고리듬을 제시하였다. 컴퓨터 시뮬레이션을 통하여 제시된 알고리듬의 성능을 UCERSS 알고리듬의 성능과 비교하여 제시된 알고리듬의 성능이 우수함을 보였다.

• 한국통신학회논문지
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• 제28권3A호
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• pp.157-165
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• 2003

본 논문에서는 UWB (Ultra WideBand) 시스템에 대한 성능 요구 조건을 미국연방통신위원회(FCC: Federal Communications Commission)에서 규정한 주파수 대역(3.1∼10.6GHz)에서 분석하였다. 실제 무선 통신 시스템의 설계를 위해서는 각 통신 시스템의 표준으로부터 시스템의 성능 요구 조건을 산출하는 것이 일반적이다. 그러나, UWB (Ultra WideBand) 시스템은 아직 표준이 정해져 있지 않다. 따라서 근거리 무선통신시스템(Indoor Communication Systems)의 분석 방법을 근간으로 하여 새로운 시스템 성능을 분석하여 각각의 시스템 파라미터를 도출하였다. 아울러 국내의 법규에 의한 성능을 도출하여 FCC에서 제시한 조건과의 차이를 비교하였다

• 대한조선학회논문집
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• 제49권4호
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• pp.359-366
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• 2012

This is the final one of the two companion papers dealing with accuracy of accumulated fatigue damage estimation under wide band process. It is stated that four kinds of wide band models exist: typed of equivalent stress, combined PDF, correction factor, and damage combination. For the idealized ESDs from full scale measurement data on an 8100TEU container vessel, fatigue damages are compared for a narrow band prediction model based on Rayleigh PDF and five wide band fatigue prediction models of Dirlik, Wirsching-Light, Jiao-Moan, Benasciutti and DNV. DNV model consistently overestimates fatigue damages regardless of variation of ESDs. Predictions by Jiao-Moan model, which is understood as standard method for design of offshore platforms, are also in conservative side. Best accuracy is found from the results by Dirlik and Benasciutti models, but Benasciutti model is preferred since it can easily combined with narrow band fatigue damage based on Rayleigh PDF.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 학술대회 논문집 정보 및 제어부문
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• pp.217-218
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• 2008

Since the digital TV signal band is very wide ($54{\sim}806MHz$), the VCO used in the frequency synthesizer must also have a wide frequency tuning range. Multiple LC VCOs have been used to cover such wide frequency band. However, the chip area increases due to the increased number of integrated inductors. A general method for achieving both reduced VCO gain(Kvco) and wide frequency band is to use the switched-capacitor bank LC VCO. In this paper, a scheme is proposed to cover the full band using only one VCO. The RF VCO block designed using a 0.18um CMOS process consists of a wideband LC VCO with reduced variation of VCO gain and frequency steps. Buffers, divide-by-2 circuits and control logics the simulation results show that the designed circuit has a phase noise at 100kHz better than -106dBc/Hz throughout the signal band and consumes $9.5{\sim}13mA$ from a 1.8V supply.

• 한국정보통신학회논문지
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• 제21권11호
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• pp.2206-2212
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• 2017

현대 해상전에서 함정의 피탐지율은 생존성에 직접적인 요소이며, 레이다 반사면적(RCS; Radar Cross Section)은 피탐지율에 있어서 주요 변수 중 하나이다. 본 논문에서는 RCS 감소기법 중 하나인 레이다 신호를 흡수하는 특수 재질을 통한 RCS 감소 기법인 RAM(Radar Absorbing Materials) 방법을 이용하여 위협 주파수 대역의 RCS 해석을 수행하였다. 해석 모델은 모형선 모델을 이용하였고, RAM 기법에 적용될 전파흡수체는 최신 전파흡수체 기술인 광대역 메타물질을 적용하였다. 광대역 메타물질은 광대역에서 공진주파수를 갖는 MIK 공진구조와 유연성 기판을 이용하여 모델링을 수행하였고, 광대역 메타물질의 성능 분석을 위하여 전자기파의 흡수율과 반사율에 대한 모의실험을 수행하였다. 또한, 광대역 메타물질 적용에 따른 레이다 반사면적 감소효과를 분석하기 위하여 기존 전파흡수체와의 비교를 통하여 RCS 감소 효과를 분석하였다.

• 전기학회논문지
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• 제63권12호
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• pp.1661-1666
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• 2014

In this paper, a compact planar ultra wideband (UWB, 3.1~10.6GHz) multiple-input multiple-output (MIMO) antenna is proposed. This antenna consists of two monopole planar UWB antennas and T-shaped stub decoupling between two antennas. The T-shaped stub improve the isolation characteristic at the wide band. The evolution strategy(ES) algorithm is employed to optimized design. As a result, optimized antenna has a return loss less than -10dB and the isolation less than -15dB from 3.1GHz to 10.6GHz. During the optimization process, the antenna gain is enhanced at lower band and the envelope correlation coefficient(ECC) is lower than 0.003.

• ETRI Journal
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• 제33권6호
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• pp.981-984
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• 2011

A novel lowpass filter with a very sharp transition band and wide stopband is proposed. The proposed filter is based on T-shaped patches which are etched in symmetrical structures and folded open stub. To obtain a wide stopband, we have used stub loaded semi-circle stepped-impedance structures. By designing the resonator with high inductance and capacitance, a very sharp transition band is achieved. The proposed filter has a 3-dB cutoff frequency at 2.37 GHz and a 40-dB rejection at 2.44 GHz. The stopband with an attenuation level better than -13.2 dB is up from 2.4 GHz to 16 GHz, and consequently we have reached the high and wide rejection in stopband with compact size. Good agreements between the simulated and the measured results are presented.

• 대한조선학회논문집
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• 제52권1호
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• pp.88-95
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• 2015

For the frequency-domain spectral fatigue analysis, the probability density function of stress range needs to be estimated based on the stress spectrum only, which is a frequency domain representation of the response. The probability distribution of the stress range of the narrow-band spectrum is known to follow the Rayleigh distribution, however the PDF of wide-band spectrum is difficult to define with clarity due to the complicated fluctuation pattern of spectrum. In this paper, efforts have been made to figure out the links between the probability density function of stress range to the structural response of wide-band Gaussian random process. An artificial neural network scheme, known as one of the most powerful system identification methods, was used to identify the multivariate functional relationship between the idealized wide-band spectrums and resulting probability density functions. To achieve this, the spectrums were idealized as a superposition of two triangles with arbitrary location, height and width, targeting to comprise wide-band spectrum, and the probability density functions were represented by the linear combination of equally spaced Gaussian basis functions. To train the network under supervision, varieties of different wide-band spectrums were assumed and the converged probability density function of the stress range was derived using the rainflow counting method and all these data sets were fed into the three layer perceptron model. This nonlinear least square problem was solved using Levenberg-Marquardt algorithm with regularization term included. It was proven that the network trained using the given data set could reproduce the probability density function of arbitrary wide-band spectrum of two triangles with great success.