A Prony model based signal prediction algorithm for folding and interpolating ADC

Author

Wenlian Zhang ; Chunming Zhang ; Jinglei Han ; Zhibiao Shao

Author_Institution

Dept. of Microelectron., Xi´´an Jiaotong Univ., Xi´´an, China

fYear

2012

fDate

Oct. 29 2012-Nov. 1 2012

Firstpage

1

Lastpage

3

Abstract

A new signal prediction algorithm based on Prony model applied on folding and interpolating (F&I) ADC is presented. The signal prediction algorithm employs Prony model to build the autoregressive moving average process (ARMA) which can achieve accuracy power spectrum estimation. This ADC system can support multi-mode multi-band signals converting aimed for software defined radio. By canceling the predicted part, this proposed system increases the input dynamic range of ADC and improves its resolution from 10bits to 14bits under 250MS/s sampling rate.

Keywords

analogue-digital conversion; autoregressive moving average processes; software radio; ARMA; F&I ADC system; Prony model-based signal prediction algorithm; accuracy power spectrum estimation; autoregressive moving average process; folding-interpolating ADC system; multimode multiband signal; software defined radio; Autoregressive processes; Mathematical model; Prediction algorithms; Predictive models; Quantization; Signal resolution; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Solid-State and Integrated Circuit Technology (ICSICT), 2012 IEEE 11th International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4673-2474-8

Type

conf

DOI

10.1109/ICSICT.2012.6466682

Filename

6466682