Abstract: Inertial navigation system (INS)/magnetometer integration is widely used in low-cost navigation systems. On the problem of suppressing the cumulative error of the INS heading, the combination method is more effective than relying only on the magnetometer. However, the magnetometer is susceptible to interference from nearby ferromagnetic materials or local magnetic fields generated by strong currents, which reduces the heading accuracy of information fusion. When the magnetometer is installed near power components (engines, etc.), only hard iron interference can be considered, and soft magnetic interference can be ignored. Hence, An INS/magnetometer information fusion method based on particle filter (PF) is proposed in this paper. A nonlinear model of heading and hard iron interference is established, then PF is adopted to realize the INS/magnetometer vehicle heading estimation. Finally, the experiment results show that the proposed algorithm effectively improves accuracy of the vehicle heading.