2017 年 14 巻 11 号 p. 20170468
As gain, offset, and timing mismatches, nonlinearity mismatches also contribute to spurious components which deteriorate TIADC’s performance. This paper proposes an efficient blind calibration method for nonlinearity mismatches in M-channel TIADCs. A modified model for nonlinearity mismatches is established by exploiting binary Hadamard transform (BHT) and differentiator. The calibration is composed of two stages—mismatches compensation and coefficients identification. The principle of mismatches compensation is to reconstruct estimations of the mismatches-induced spurious components and subtract them from the original TIADC’s output. The coefficients identification is performed based on filtered-x least mean square (FxLMS) algorithm. By using improved model and calibration algorithm, the proposed method consumes less computational resource according to the complexity comparison. To tackle the 4-order nonlinearity mismatches in an 16-channel TIADC, the proposed method consumes 23% fewer multipliers than the previous work. Simulation results reveal that both effective resolution and dynamic range improve a lot after calibration.
