Novel low noise amplifier approach for deep brain stimulation

Abstract

Abstract This paper presents an analysis for a multi-stage Low Noise Amplifier (LNA) for application on deep brain stimulation. A low noise amplifier (LNA) with high gain, moderate bandwidth and reduced noise is designed and simulated using LT Spice and PTM BSIM4 CMOS models. The novel LNA circuit topology is proposed which uses a cascaded style to improve mid-band gain of an LNA. The proposed LNA achieves a gain margin which ranges between 60-67 (dB), 2X times; Phase Margin which ranges between 145 to 154 (deg), 3X times; Gain which ranges between 66 to 75 (dB), 2X times and bandwidth from kHz to MHz range. The current biasing circuit is used for enhancing stability and gain range. Also, optimal noise figure is achieved with the help of cascading input matching along with source degeneration technique.