Nonuniform mismatches compensation algorithm for time-interleaved sampling system using neural networks

Author

Huiqing, Pan ; Dongchuan, Yu ; Shulin, Tian ; Peng, Ye

Author_Institution

Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

1

fYear

2011

Firstpage

231

Lastpage

234

Abstract

Time-interleaved sampling system increase the overall sampling rate by combining multiple slow ADCs. However, its performance suffers from several mismatches. This paper introduces a BPNN-based compensation method to deal with the automatic compensation of timing skew, gain and offset mismatches simultaneously, and track the time-varying errors self-adaptively. Simulation results show that the calibration technique can greatly attenuate the spurs and the SFDR can be significantly improved by 27-58 dB, and it demonstrates the efficiency of proposed method.

Keywords

analogue-digital conversion; backpropagation; neural chips; BPNN-based compensation method; analog to digital converter; automatic compensation; calibration technique; neural network; nonuniform mismatches compensation algorithm; sampling rate; time-interleaved sampling system; time-varying error; timing skew; Algorithm design and analysis; Calibration; Frequency measurement; Gain; Neural networks; Neurons; Timing; channel mismatches; neural networks; nonlinear compensation; time-interleaved ADC;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-8158-3

Type

conf

DOI

10.1109/ICEMI.2011.6037720

Filename

6037720