Abstract: In this paper, a new type of principal component analysis (PCA) for electronic warfare information integration fusion scheme is presented. Based on DS theory of information fusion, the PCA method is used to collect data and reduce dimensions, and the basic trust distribution function is established for feature layer data to realize further based data fusion. The electronic warfare system information is intelligently diagnosed and mined to effectively achieve the fault detection and separation of electronic warfare system. Furthermore, the device status is evaluated and timely sent the control system through the big data mining, thus implementing the reasonable guidance and early warning and control for operational strategy in warfare procedure.