This chapter starts with a brief introduction of the analog-to-digital conversion process in Sect. 2.1 and a discussion of factors that define the performance of ADCs in Sect. 2.2. ADC performance limitations and trends are addressed in Sect. 2.3. In Sect. 2.4, a brief discussion of popular Nyquist-rate ADC topologies is given where the topologies most relevant to the focus of this book are discussed with the associated tradeoffs. A signal/system-aware design approach which exploits certain signal properties to enhance the ADC performance is discussed in Sect. 2.5 and examples are shown.
Introduction to Analog-to-Digital ConvertersAn analog-to-digital converter is an electronic circuit which converts a continuoustime and continuous-amplitude analog signal to a discrete-time and discreteamplitude signal [1]. The analog-to-digital conversion involves three functions, namely sampling, quantizing and encoding [2], as shown in Fig. 2.1. After the conversion, the continuous quantities have been transformed into discrete quantities with a certain amount of error due to the finite resolution of the ADC and imperfections of electronic components. The purpose of the conversion is to enable digital processing on the digitized signal.ADCs are essential building blocks in electronic systems where analog signals have to be processed, stored, or transported in digital form. The ADC can be a stand-alone general purpose IC, or a subsystem embedded in a complex system-onchip (SoC) IC. A main driving force behind the development of ADCs over the years has been the field of digital communications due to continuous demand of higher data rates and lower cost [2]. In Fig. 2.2, a block diagram of a typical digital communication system is shown and the location of the ADC in the system is indicated [3]. The ADC is normally preceded by signal conditioning blocks (e.g. amplifiers, filters, mixers, modulators/demodulators, detectors, etc.) and followed by the baseband digital signal processing unit. With the advance in CMOS process