The design of analog and complex mixed-signal circuits in a deep submicron CMOS process technology is a big challenge. This makes it desirable to shift data converter design towards the digital domain. The advantage of using a fully digital ADC design rather than a traditional analog ADC design is that the circuit is defined by an HDL description and automatically synthesized by tools. It offers low power consumption, low silicon area and a fully optimized gate-level circuit that reduces the design costs, etc. The functioning of an all-digital ADC is based on the time domain signal processing approach, which brings a high time resolution obtained by the use of a nanometer CMOS process. An all-digital ADC design is implemented by using a combination of the digital Voltage-Controlled Oscillator (VCO) and a Time-to-Digital Converter (TDC). The VCO converts the amplitude-domain analog signal to a phase-domain time-based signal. In addition, the VCO works as a time based quantizer. The time-based signal from the VCO output is then processed by the TDC quantizer in order to generate the digital code sequences. The fully digital VCO-based ADC has the advantage of superior time resolution. Moreover, the VCO-based ADC offers a first order noise shaping property of its quantization noise. This thesis presents the implementation of a VCO-based ADC in STM 65 nm CMOS process technology using digital tools such as ModelSim simulator, Synopsys Design Compiler and Cadence SOC Encounter. The circuit level simulations have been done in Cadence Virtuoso ADE. A multi-phase VCO and multi-bit quantization architecture has been chosen for this 8-bit ADC. The power consumption of the ADC is approximately 630 μW at 1.0 V power supply and the figure of merit is around 410 fJ per conversion step.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-108578 |
Date | January 2014 |
Creators | Pathapati, Srinivasa Rao |
Publisher | Linköpings universitet, Elektroniksystem, Linköpings universitet, Tekniska högskolan |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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