The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Propomos uma nova abordagem de extração de parâmetros baseada em um algoritmo genético (AG) de modo misto, incluindo a separação eficiente do espaço de busca e o processo de prevenção de convergência de mínimos locais. A técnica, substancialmente ampliada do nosso trabalho anterior, permite as figuras de mérito projetadas, como a eficiência quântica interna (ηi), bem como densidade de corrente de transparência (Jtr) de lasers e figura de ruído mínimo (NFminutos) bem como o ganho disponível associado (GA, associado) de amplificadores de baixo ruído (LNAs), extraídos por uma metodologia analítica baseada em equações combinada com uma ferramenta numérica evolutiva. Os resultados de extração, que concordam bem com os dados realmente medidos, tanto para lasers de poços quânticos InGaAs de última geração quanto para LNAs SiGe avançados são apresentados pela primeira vez para demonstrar esta análise multiparâmetro e otimização de alta precisão.
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Hsien-Cheng TSENG, Jibin HORNG, Chieh HU, Seth TSAU, "Mixed-Mode Extraction of Figures of Merit for InGaAs Quantum-Well Lasers and SiGe Low-Noise Amplifiers" in IEICE TRANSACTIONS on Electronics,
vol. E93-C, no. 11, pp. 1645-1647, November 2010, doi: 10.1587/transele.E93.C.1645.
Abstract: We propose a new parameter-extraction approach based on a mixed-mode genetic algorithm (GA), including the efficient search-space separation and local-minima-convergence prevention process. The technique, substantially extended from our previous work, allows the designed figures-of-merit, such as internal quantum efficiency (ηi) as well as transparency current density (Jtr) of lasers and minimum noise figure (NFmin) as well as associated available gain (GA,assoc) of low-noise amplifiers (LNAs), extracted by an analytical equation-based methodology combined with an evolutionary numerical tool. Extraction results, which agree well with actually measured data, for both state-of-the-art InGaAs quantum-well lasers and advanced SiGe LNAs are presented for the first time to demonstrate this multi-parameter analysis and high-accuracy optimization.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.E93.C.1645/_p
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@ARTICLE{e93-c_11_1645,
author={Hsien-Cheng TSENG, Jibin HORNG, Chieh HU, Seth TSAU, },
journal={IEICE TRANSACTIONS on Electronics},
title={Mixed-Mode Extraction of Figures of Merit for InGaAs Quantum-Well Lasers and SiGe Low-Noise Amplifiers},
year={2010},
volume={E93-C},
number={11},
pages={1645-1647},
abstract={We propose a new parameter-extraction approach based on a mixed-mode genetic algorithm (GA), including the efficient search-space separation and local-minima-convergence prevention process. The technique, substantially extended from our previous work, allows the designed figures-of-merit, such as internal quantum efficiency (ηi) as well as transparency current density (Jtr) of lasers and minimum noise figure (NFmin) as well as associated available gain (GA,assoc) of low-noise amplifiers (LNAs), extracted by an analytical equation-based methodology combined with an evolutionary numerical tool. Extraction results, which agree well with actually measured data, for both state-of-the-art InGaAs quantum-well lasers and advanced SiGe LNAs are presented for the first time to demonstrate this multi-parameter analysis and high-accuracy optimization.},
keywords={},
doi={10.1587/transele.E93.C.1645},
ISSN={1745-1353},
month={November},}
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TY - JOUR
TI - Mixed-Mode Extraction of Figures of Merit for InGaAs Quantum-Well Lasers and SiGe Low-Noise Amplifiers
T2 - IEICE TRANSACTIONS on Electronics
SP - 1645
EP - 1647
AU - Hsien-Cheng TSENG
AU - Jibin HORNG
AU - Chieh HU
AU - Seth TSAU
PY - 2010
DO - 10.1587/transele.E93.C.1645
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E93-C
IS - 11
JA - IEICE TRANSACTIONS on Electronics
Y1 - November 2010
AB - We propose a new parameter-extraction approach based on a mixed-mode genetic algorithm (GA), including the efficient search-space separation and local-minima-convergence prevention process. The technique, substantially extended from our previous work, allows the designed figures-of-merit, such as internal quantum efficiency (ηi) as well as transparency current density (Jtr) of lasers and minimum noise figure (NFmin) as well as associated available gain (GA,assoc) of low-noise amplifiers (LNAs), extracted by an analytical equation-based methodology combined with an evolutionary numerical tool. Extraction results, which agree well with actually measured data, for both state-of-the-art InGaAs quantum-well lasers and advanced SiGe LNAs are presented for the first time to demonstrate this multi-parameter analysis and high-accuracy optimization.
ER -