一种采用多传感器数据融合的目标识别框架

A Framework for Target Identification via Multi-Sensor Data Fusion

利用Dempster Shafer理论进行目标识别并提出了一种战场平台识别的框架。该框架采用模糊方法来解决基本概率分布问题 ,并利用递推集中化结构来进行时空信息融合。为增加推理过程的鲁棒性和效率 ,提出了一种解决矛盾的新策略。初步实验表明该框架是有效的 。

The Dempster Shafer theory is applied to target identification and a framework for battlefield platform identification is presented.The framework employs fuzzy logic to solve the problem of Basic Probability Assignments (BPA),and applies a recursive centralized structure to the fusion of temporal spatial information.To increase the efficiency and the robustness of the reasoning procedure,a novel conflict resolution strategy is proposed.Preliminary test results show that the framework is effective and valuable to be further developed.