A low‐power small‐area 10‐bit analog‐to‐digital converter for neural recording applications

In vivo neural recording systems require low power and small area, which are the most important parameters in such systems. This paper reports a new architecture for reducing the power dissipation and area, in analog‐to‐digital converters (ADCs). A time‐based approach is used for the subtraction and amplification in conjunction with a current‐mode algorithm and cyclical stage, which the conversion reuses a single stage for three times, to perform analog‐to‐digital conversion. Based on introduced structure, a 10‐bit 100‐kSample/s time‐based cyclical ADC has been designed and simulated in a standard 90‐nm Complementary Metal Oxide Semiconductor (CMOS) process. Design of the system‐level architecture and the circuits was driven by stringent power constraints for small implantable devices. Simulation results show that the ADC achieves a peak signal‐to‐noise and distortion ratio (SNDR) of 59.6 dB, an effective number of bits (ENOB) of 9.6, a total harmonic distortion (THD) of −64dB, and a peak integral nonlinearity (INL) of 0.55, related to the least significant bit (LSB). The ADC active area occupies 280µm × 250µm. The total power dissipation is 5µW per conversion stage and 20µW from an 1.2‐V supply for full‐scale conversion.