Abstract
The need for high dynamic range analog to digital converters (ADCs) is strong due to the growing use of digital signal processing in communications applications. ADC performance has improved over the years due to advances in both design concepts and semiconductor technologies. However most ADCs still still exhibit undesirable distortion in addition to quantization error, thus limiting spurious free dynamic range, (SFDR), in digital receiver applications. This paper describes a new method for developing ADC error function models using standard sinewave histogram methods. The method provides better error representation by providing error basis functions for every state. Results show this method is capable of removing all slope dependent errors in complex ADC error models and application to a 200 MSPS ADC showed more than 10 dB improvement in SFDR over the full Nyquist band for the ADC.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.