D-S证据理论在炮兵战场电磁辐射源识别中的应用

采用D-S证据理论的数据融合方法解决炮兵战场电磁辐射源识别问题。阐述了D-S证据理论用于多传感器数据融合的基本概念、合成法则、一般步骤及决策准则。与单传感器单周期的目标识别结果相比较，多传感器多周期的方法能显著提高目标识别能力，并将它应用于炮兵战场电磁辐射源识别的数据融合中解决了问题，试验结果证明了该方法的正确性和有效性。

Application of D-S Evidence Theory in Recognizing Electromagnetic Radiation Source among the Artillery Battlefield

Data fusion based on the D-S evidence reasoning method is applied to resolve the electromagnetic radiation source recognition problems. The basic concepts, association rules, process, standard of decision and theory of D-S evidence reasoning applied to data fusion are analyzed in detail. By comparing the simulation results of targets identification based on a single period sensor and many periods multi-sensor, the later can obviously raise its higher identification rate and better reliability. Experiment results prove multi-sensor data fusion method is effective.