In nonlinear systems, the fusion algorithm based on extended Kalman Filter suffers from the disadvantage that the tracking precision is not satisfied.

在非线性系统中，常用的跟踪滤波算法是基于扩展的卡尔曼滤波算法的融合算法，但是这种融合算法的跟踪精度并不是很高。

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Experiments show that the new algorithm has good recognition precision and realtime tracking performance, and can adapt to the application requirements of augmenting reality systems.

实验表明，识别算法具有较好的跟踪精度和实时性，能够满足增强现实系统的应用要求。

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For example, command and control systems would coordinate precision strikes and electronic warfare by locating, tracking, attacking, and assessing the damage to enemy targets.

CENTERFORSECURITYPOLICY: Center for Security Policy | Chinese Information Warfare: A Phantom Menace or Emerging Threat? | Page: 8