Method of Anti-interference Information Processing based on System with Random Changing Structure
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摘要: 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.Abstract: In the complex environment of interference confrontation,to solve the accuracy problem of increasing information processing(for example,tracking problem of maneuvering targets with many sorts of means of interference confrontation). This paper presents a new method of anti-interference information processing based on the system with random changing structure.This method can identify the states of random interference and arrive at a decision about optimization and utilization of system resources(for example,sensor's optimum reconfiguration).This algorithm can reduce the effect of interference on information processing accuracy as a maximum limitation.Simulation for the algorithm's characteristic is conducted.Simulation results proved this method effective.
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