DocumentCode :
1585301
Title :
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
Link To Document :
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