随着交互区域的扩大，采用磁力跟踪器的增强现实系统必然要求使用多台磁力跟踪设备，但如果发射器靠得过近，则会产生相互间的干扰，从而使头盔中的虚拟物体产生明显抖动。为抑制发射器相互间的干扰，提出了一种磁力跟踪器互干扰抑制方法，该方法根据交互时头和手各自的运动特点，在头、手的运动跟踪中，引入了以下不同的抗干扰处理策略：1）对手的跟踪干扰采用粒子滤波；2）对头的跟踪干扰，当头静止时，采用卡尔曼滤波，当头缓慢移动时，则采用改进了的内在几何量3维离散曲线光顺算法。该改进算法先使用准实时模型实现了对动态轨迹的滤波，同时使用双边滤波思想实现了对欧拉角的滤波，当目标快速运动时，则停止滤波，并通过引入临界阻尼来削弱进入快速移动状态时的突变。实验结果表明，采用该改进方法，能较好地抑制磁力跟踪器间的相互干扰。

With tracing region enlarged, an augmented reality system, which uses magnetic force tracker to realize tracing, need more magnetic force trackers. But their transmitters are very close to each other, it leads to mutual interference and virtual object in helmet vibrating obviously. According to the moving characteristics of head and hand while interacting, different methods are designed and applied to control the mutual interference. To the interference of tracing hand, particle filter is adopted. To the interference of tracing head, Kalman filter is used only when it holds still. While moving slowly, the improved intrinsic 3D discreet Curve smoothing algorithm is used. Compared with old algorithm, this improved algorithm can deal with dynamic data using an approaching-real-time model and remove of interference to Euler Angle using bilateral filtering. While head moves quickly, filter is stopped. Furthermore, the critical damping is applied to avoid jumping while entering the quick state. The results show that the mutual interference is reduced significantly by using these methods.