Compared with the basic back propagation algorithm, the Levenberg-Marquardt Bayesian regularization algorithm effectively improves the generalizability and convergence accuracy of neural networks in wireless localization correction. In addition, this method provides a feasible solution for improving the accuracy when wirelessly tracking a microcapsule device.