Abstract
Preamplifier is the initial block of Analog Front End (AFE) design that resolves the performance of the implantable Neurons activity processing System. The key design parameters of neural recording systems are gain, low power and noise. This requirement demands analog design engineers to design to integrate large number of front end amplifiers on a single on-chip. This work focuses on design of low noise pre-amplifier to meet the requirements and demands for IoT based neural recording system. We proposed a single stage Telescopic OTA with improved current mirror structure to minimize noise contribution of load circuitry Device current and geometry are normalized to Inversion Coefficient (IC). The simulations are carried out with 180 nm Technology in Cadence environment for noise, gain and Voltage-Temperature (V-T) variations with \(V_{DD}\) of 1.5 V. Results show an improvement of 78 dB in gain, 320 nV/sqrt(Hz) of input referred noise, 1.2 \(\upmu \)W power consumption and less impact of PVT variations on the overall performance of amplifier without degradation in stability.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call