The invention discloses a multi-channel sampling circuit
hybrid error modeling and cyclic calibration method, and belongs to the technical field of
signal sampling. The method comprises the following steps: constructing a
system error model, and introducing polynomial series to realize model simplification; generating a reference
signal participating in error cycle calibration according to the simplified
hybrid error model; initializing a
frequency response function of each sampling channel, and calculating an initial tap coefficient of an error correction module; a
cascade multi-order error correction structure is used for completing reference
signal error iteration correction, so that the reference signal error continuously approaches to an input signal; correcting the signal to calculate a
loss function, and completing
estimation and updating of a tap coefficient; and judging whether the
loss function reaches a convergence condition or not until
hybrid error cyclic calibration is realized. On the basis of the reference signal constructed by the hybrid error model, low-complexity online blind cycle calibration is realized, the precision and completeness of the
system error model are improved, the quantity of parameters to be estimated and the number of sample points for calibration are remarkably reduced, and the calibration efficiency is improved.