Microwave transistor noise models including temperature dependence

This paper presents results of transistor noise parameters´ modeling including their temperature dependence. Transistor noise models based on multilayer perceptron neural networks are proposed. Using transistor noise data for certain number of temperatures, appropriate neural networks were trained. Once trained the developed model can be used for efficient prediction of transistor noise parameters for any operating temperature, avoiding additional measurements.