The invention discloses a TIADC sampling time mismatch error
estimation and calibration method, and belongs to the technical field of high-speed
data acquisition and real-time transmission. According to the method, high-precision
time error estimation is realized in a mode of combining improved first-order statistics and LMS adaptive filtering, dynamic correction is carried out by adopting a parallel Farrow
fractional delay filter based on Lagrange interpolation, and a sub-ADC is used for sampling a difference value between a
signal and an ideal
signal and derivative information in an error
estimation stage. A time mismatch initial estimation value is calculated through improved first-order statistics, the estimation value is iteratively optimized through an LMS
algorithm, dynamic error tracking is achieved, optimized error parameters are input into an improved parallel Farrow filter, and K sub-filter banks are generated through a multi-phase
decomposition structure. According to the invention, the spurious-free
dynamic range and significant digits of the TIADC
system are significantly improved, and the TIADC
system is suitable for high-frequency
signal acquisition scenes such as 5G communication and
radar.