Optimized System Level Hardware Realization of Built-in-Self-Test Approach for Sigma-Delta Analog-to-Digital Converter

Abstract

System-level modeling is generally needed due to simultaneous increase in design complexity with multi-million gate designs in today’s system-on-chips (SoCs). System C is generally applied to system-level modeling of Sigma-Delta ADC. CORDIC technique and test generation for the testing of mixed signal circuit components such as analog-to-digital converter is mostly implemented in system level modeling. This work focuses on developing fast and yet accurate model of BIST approach for Sigma-Delta ADC. The Sigma-Delta modulator’s ADC static parameters as well as dynamic parameters are degraded. One of the dynamic parameters, signal-to-noise ratio (SNR) is directly obtained by the SIMSIDES (MATLAB SIMULINK tool). Then, the obtained parameters are tested by using Built-in-self-test that is desirable for the VLSI system in order to reduce the non-recurring cost (NRE) per chip by the manufacturer. This paper demonstrates a possibility to realize a simulation of testing strategy of high-resolution Sigma-Delta modulator using MATLAB SIMULINK and Xilinx EDA tool environment. This work also contributes towards the Output Response Analyzer (ORA) being used for testing parameters which help in reducing the difficulties in design of the complete ORA circuit. Moreover, the reusable features of hardware in the computation of different parameters are also improved in the ORA design.