Optimizing the Signal-to-Noise and Distortion Ratio of a GaN LNA using Dynamic Bias

TLDR: In this paper, the authors derived the signal-to-noise and distortion ratio (SNDR) for low noise amplifiers (LNA) from the commonly specified parameters noise figure, gain, third order output intercept point and 1 dB compression point.

Abstract: This paper shows how the signal-to-noise and distortion ratio (SNDR) for low noise amplifiers (LNA) can be derived from the commonly specified parameters noise figure, gain, third order output intercept point and 1 dB compression point. The parameters dependency of the biasing of the amplifier are also incorporated which enables the possibility to study how SNDR can be optimized for different operating conditions by dynamically change the gate- and drain voltage. An experimental verification shows that improvements in SNDR can be achieved by selecting gate- and drain voltage of the LNA according to the level of the input signal power.