Neural Network Based Compensation Method for Frequency Response Mismatch in Wideband Quadrature Signal Reception System

The broadband quadrature reception system adopts a time interleaved sampling structure to perform high-speed sampling on the phase/quadrature (I/Q) signals after quadrature mixing, in order to meet the high bandwidth and high-speed sampling requirements of the system. In response to the serious impact of time-interleaved analog to digital converter (TIADC) mismatch and I/Q imbalance errors on key indicators of the system, this paper proposes a joint compensation method based on linear neural networks. This method uses the end-to-end compensation method to jointly compensate for the two errors without establishing an accurate joint error model, and simulation results have demonstrated the effectiveness of this method. In addition, the network model has scalability, and future research can further include more types of system distortion errors and perform joint compensation.