在分布式多传感器数据融合系统中 ,各单传感器类型不同情况下的融合问题是一类普遍的问题 .本文从分层融合算法的推导过程提出了一种解决这一类问题的方法 ,包括融合状态设定方法、对单传感器滤波结果的状态及其相应方差阵的扩维方法、扩维后的融合与预测方法 .同时明确了这种扩维融合算法的实质 . In the distributed multi-sensor data fusion system, the fusion problem under different single sensor types is a common problem.In this paper, a method to solve this kind of problem is proposed in the derivation process of the hierarchical fusion algorithm, including fusion State setting method, the state of the single-sensor filtering results and their corresponding variance matrix expansion method, the expansion after the fusion and prediction methods. At the same time clear the essence of this expansion algorithm.