Background Adaptive Cancellation of Digital Switching Noise in a Pipelined Analog-to-Digital Converter Without

Abstract

Switching noise generated by digital circuits can degrade analog circuit performance in mixed-signal integrated circuits (ICs). In an analog-to-dig ital converter (ADC), one major source of switching noise is digital output drivers. Traditional methods for mitigating this problem mostly have been to isolate the analog and digital circuits t o minimize digital noise coupling into sensitive analog nodes. This paper presents two fully digital and adaptive algorithms, which find and cancel errors due to switching noise coupling at th e output of an ADC without using noise sensors. To demonstrate the operation of these algorithms, a 12-bit, 40-MS/s pipelined ADC has b een designed and fabricated in 0.18-µm CMOS process. T he system consists of an ADC with its own output drivers, and eight other independent digital output drivers (noise buffers) that can be programmed to produce four different kinds of switching noise. The switching noise cancellation (SNC) algorithm estimates noise parameters and stores them in look-up tables. At the ADC output , the effects of switching noise are digitally remo ved to recover the input samples. Test results show that the ADC achieves a signal-to-noise-and-distortion-ratio (SNDR) of 64.9 dB with all of the noi se-generating buffers off. With the noise bu ffers on, the worst case SNDR before and after SNC is 51.9 dB and 63.7 dB, respectively.