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为了解决在复杂的干扰对抗环境中提高信息处理的准确性问题（例如，对具有多种干扰对抗手段的机动目标的跟踪问题），基于结构随机跳变系统理论提出了一种反干扰信息处理的新方法，该方法针对干扰环境的随机剧烈变化，适时地辨识干扰环境的当前状态，并作出相应的决策来优化和利用系统的资源（例如传感器的优化重组、信息融合算法的转换等），最大限度地降低干扰对信息处理精度的影响．以有效地提高信息优化处理的精确度．在本文中就该方法的性能与其它算法做了仿真比较，其仿真结果证实了该方法的有效性．
In order to solve the problem of improving the accuracy of information processing in complex interference confrontation environment (for example, tracking of maneuvering targets with multiple means of interference countermeasures), an anti-interference information processing based on stochastic hopping system theory This method is based on the stochastic and dramatic changes of disturbing environment, identifies the current state of disturbing environment timely and makes corresponding decisions to optimize and utilize the resources of the system (such as sensor optimization and reorganization, information fusion algorithm conversion, etc.) Limit the impact of interference on the accuracy of information processing. In order to effectively improve the accuracy of information processing. In this paper, the performance of this method is compared with other algorithms. The simulation results show the effectiveness of this method.