Both calibration method and static decoupling algorithm were employed to analyze wheel force transducer (WFT). Firstly, the calibration procedure and extraction of sample data were presented in detail based on the self-developed hydraulic bench. Then, three decoupling methods were utilized respectively to quantify the coupling effects. The main findings are as the follows: the linearity of each main calibration channel is notable; the calculated rate of static coupling of the self-developed WFT is equal to the same-type foreign product; the least square support vector regression (LS-SVR) algorithm owns the characteristics of high regression precision, outstanding generalization and excellent algorithm stability; the method to modify the algorithm of the standard OLS-RBF NN (orthogonal least square radial-basis-function neural network) improves the regression performance significantly. 