Skip to Main Content
Skip Nav Destination
ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks Volume 18
Editor
Cihan H. Dagli
Cihan H. Dagli
Search for other works by this author on:
ISBN-10:
0791802823
ISBN:
9780791802823
No. of Pages:
700
Publisher:
ASME Press
Publication date:
2008

Several mismatch-shaping algorithms have been developed to solve the problem of analog-component mismatch while different architectures of delta-sigma digital-to-analog converters (ΔΣDACs) have also been used to complementarity solve instability and quantization problems. However, these solutions need higher order output feedback modulators, which limit the precision and use of ΔΣDACs in high data-rate applications. In this paper, the market paradigm algorithm (MPA) based ΔΣDAC (MPΔΣDAC), which increases the precision of the ΔΣDAC, was developed. The performance of the MPΔΣDAC was, subsequently, measured in terms of its signal-to-quantization noise ratio (SQNR) using Fast Fourier Transform (fft) analysis in a typical Matlab environment. At an oversampling ratio greater than 48 with infinite impulse response (IIR) and finite impulse response (FIR) filter architectures, the MPΔΣDAC achieved a SQNR greater than 123 dB, an accuracy greater than 22 bits, and a lowering of the quantization noise floor by more than 3dB. The paper concludes that the MPΔΣDAC is stable, and requires the least supporting hardware complexity and, hence, suitable for implementing wireless communications requiring robust ΔΣDACs for achieving high data-rate applications.

Abstract
Introduction
Digital-to-Analog Converter Design
Experimentation
Conclusion
Acknowledgements
References
Nomenclature
This content is only available via PDF.
You do not currently have access to this chapter.
Close Modal

or Create an Account

Close Modal
Close Modal