基于分级信息融合的引信多模融合

为了提高引信的准确性， 结合当前微型毫米波雷达、激光传感器、微机电系统（MEMS）传感器对目标的探测能力，提出了一种引信多模融合策略。以传感器受环境影响的主要因素为输入，构建环境影响贝叶斯网络，形成传感器可靠性权重分配；通过建立传感器量测加权融合，形成测距与加速度两级融合综合处理获得目标准确位置信息，从而提高量测可靠性，为准确引爆提供支撑。实验表明该算法可提高测距准确性且对不同环境具有较好的适应性。

Multimode fusion of fuses based on hierarchical information fusion

In order to improve the accuracy of fuses,a multimode fusion method is proposed by considering the information obtained by miniature millimeter wave radar,laser sensors and micro-electro-mechanical system(MEMS) sensors.The environmental impact Bayesian network is established as the ratios of sensor impacted.Two layers of transform fusion is applied to fuse the information of distance and acceleration of object to improve the accuracy,so as to provide support for detonating fuze accurately.Experiments show that the algorithm can improve the accuracy of distance and has better adaptability to different environment.