The search functionality is under construction.
The search functionality is under construction.

Mixed-Mode Extraction of Figures of Merit for InGaAs Quantum-Well Lasers and SiGe Low-Noise Amplifiers

Hsien-Cheng TSENG, Jibin HORNG, Chieh HU, Seth TSAU

  • Full Text Views

    0

  • Cite this

Summary :

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.

Publication
IEICE TRANSACTIONS on Electronics Vol.E93-C No.11 pp.1645-1647
Publication Date
2010/11/01
Publicized
Online ISSN
1745-1353
DOI
10.1587/transele.E93.C.1645
Type of Manuscript
BRIEF PAPER
Category
Semiconductor Materials and Devices

Authors

Keyword