This study tested the performance of ensemble Kalman filter (EnKF) under the perfect model assumption for storm-scale data assimilation of simulated Doppler radar observations. A series of observation system simulation experiments have been carried out to check the filter performances of EnKF in different configurations. It is found that the EnKF is very effective in the assimilation of storm-scale under the perfect model assumption if the configuration is properly set. An ensemble of 40 members and localization scale of 6 km are suitable to our experiments. To initialize the ensemble, adding smoothed Gaussian initial perturbations is superior to non-smoothed ones.Inflation that augments ensemble spread is necessary.Although the observation operator for reflectivity is strong nonlinear, assimilation reflectivity data only can bring positive effect to analysis. If both the radial velocity and reflectivity observations are assimilated, analysis will be better than that from single reflectivity assimilation.