Low-Power High-Gain Operational Amplifier for Analog Image Pre-Processing in Smart Sensor Systems

In this work, a low-power high-gain operational amplifier is presented, which is dedicated to work in an analog image pre-processing stage in a smart sensor system. This stage is able to detect edges and shapes for instance, before the image is passed to the ADC and the digital computation stage, reducing data and precision requirement of both stages. This approach helps to save power, making smart image sensor nodes with energy harvesting reasonable. Since the precision as well as the energy consumption of the edge detection algorithm is highly depended on the amplifier used for the basic summing and multiplier blocks, the design of it plays an important role for the approach. The proposed input/output rail-to-rail operational amplifier is based on a 150 nm CMOS technology, has a gain of 77 dB and a unity gain bandwidth of 45.7 MHz while consuming only 77 muA statically at a supply voltage of 1.8 V.