摘要
讨论了多帧异类信源的目标识别问题,将D-S证据推理应用于多传感器的数据融合,将异类辨识框架下的证据体组合得到新置信指派,利用多个传感器共同或联合操作的优势来提高目标识别的有效性和精确性。同时给出基于基本概率赋值决策的目标识别时序累积方法。最后通过仿真验证了该方法的有效性,可信度及准确性得到提高,具有比累积前更可信的特点。
The problems of target identification based on multiple and asynchronous information sources are discussed. Dempster-Shafer evidence reasoning is applied to combine different evidences coming from various sensors. Then the new confidence function can be gotten. At the same time, a method of consequent target identification based on the decision from basic belief assignment is put forward. Finally the effectiveness of this method is demonstrated. The results of simulation can prove that the new method is more reliable and accurate.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2007年第5期788-790,共3页
Systems Engineering and Electronics
关键词
信息融合
目标识别
证据理论
时序累积法
information fusion
target recognition
evidence theory
consequent target identification
