Computation of noise parameters using genetic algorithms

In this study. an improved computation method for the noise parameters of a linear noisy two-port network is introduced. A new error function, which considers noise figure and source admittance error simultaneously, is proposed to estimate the four noise parameters. The global optimization of the er...

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Bibliographic Details
Main Authors: Han-Yu Chen, Kun-Ming Chen, Guo-Wei Huang, Ming-Hsiang Cho, Chun-Yen Chang
Format: Conference Proceeding
Language:English
Subjects:
Admittance measurement
Computer networks
Equations
Frequency
Genetic algorithms
Impedance
Laboratories
Least squares methods
Noise figure
Noise measurement
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Summary:In this study. an improved computation method for the noise parameters of a linear noisy two-port network is introduced. A new error function, which considers noise figure and source admittance error simultaneously, is proposed to estimate the four noise parameters. The global optimization of the error function is searched directly by using a genetic algorithm.