通讯复杂性理论是一个计算抽象模型,它关心的是系统内部之间的数据通讯量的大小。多传感器数据融合是指多个传感器跟踪多个目标,是一种多层次的、多方面的处理过程,这个过程是对多源数据进行检测、结合、相关、估计和组合以达到精确跟踪不同目标的目的。该文把复杂性秩理论应用到多传感器融合,以获得多传感器之间数据融合所需的最小的通讯条件。 Communication complexity theory is a computational abstract model, which is concerned with the amount of data traffic between systems. Multisensor data fusion refers to the multiple sensors tracking multiple targets, which is a multi-level and multi-faceted process of detecting, combining, correlating, estimating and combining multi-source data to accurately track different targets the goal of. This paper applies the complexity rank theory to multisensor fusion to obtain the minimum communication conditions required for data fusion among multiple sensors.