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

摘要：

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.

关键词： time-interleaved ADC channel mismatches neural networks nonlinear compensation.

作者: Pan Huiqing Yu Dongchuan Tian Shulin Ye Peng

作者单位: School of Automation Engineering,University of Electronic Science and Technology of China 2006 Xiyuan Road,Chengdu 610054,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 231-234

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）