Fast eye-diagram estimation of high-speed channel based on computationally efficient time response extraction연산 효율이 개선된 시간 응답 추출 기반 고속 채널의 아이다이어그램 예측 기법

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Memory, USB, and display devices, which are applied to the latest technology fields such as smartphones and electric vehicles, require high-speed channels for simultaneously transmitting large-scale data. Performance verification of these high-speed channels is essential in the design stage because the transmission performance decreases as the data-rate increases. Currently, performance verification using a simulation that can shorten the development period and cost is widely used. However, conventional simulation methods such as the vector fitting and the iterative extrapolation require high computational load to obtain accurate results, making it difficult to shorten analysis time and cost. Therefore, this thesis proposes efficient simulation methods to estimate eye-diagram, which is one of the most important indicators for verification of high-speed channel performance. In particular, we propose an accurate and efficient method that can extract the time response from the band-limited frequency response without low-frequency data based on the interpolation and extrapolation and the worst-case eye-diagram estimation method based on the hybrid algorithm.
Advisors
Ahn, Seungyoungresearcher안승영researcher
Description
한국과학기술원 :조천식녹색교통대학원,
Publisher
한국과학기술원
Issue Date
2019
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 조천식녹색교통대학원, 2019.8,[vii, 54 p. :]

Keywords

High-speed channel▼aextrapolation▼acausal time response▼aworst-case eye estimation; 고속 채널▼a아이다이어그램▼a대역 제한 주파수 응답▼a시간 응답 추출

URI
http://hdl.handle.net/10203/283333
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=871508&flag=dissertation
Appears in Collection
GT-Theses_Ph.D.(박사논문)
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