摘要
在不确定情报背景下,对目标识别融合系统提出一种基于 D-S 证据理论的优化算法。通过对每个识别单元的数据加权实现准确性优化,通过不确定情报对识别框调整实现速度优化。
The paper introduce a kind of improved algorithm based on Dempster-Shafer Reasoning principle for target identifica- tion system under the backdrop of uncertain intelligence.Fusion system realize veracity improving through weighting data of ev- ery identification unit and realize velocity improving through regulating the identification frame with uncertain intelligence.
出处
《弹箭与制导学报》
CSCD
北大核心
2003年第S4期166-168,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
关键词
数据融合
情报
D-S
推理
Data Fusion
Intelligence
Dempster-Shafer Reasoning Principle
