摘要： 对D-S证据理论用于多平台协同数据融合进行了分析，提出了多平台协同数据融合的设计思想和结构，将其用于舰船类型的识别。通过MATLAB仿真，证明了多平台协同数据融合降低了识别结果的不确定性，比传统的单平台数据融合效果好，验证了这一理论在多平台协同数据融合中的有效性和正确性。
关键词:
D-S证据理论,
舰艇多平台,
协同数据融合
Abstract: A method of data fusion based on D-S evidence theory is analyzed to resolve cooperative multi-platform data fusion problems. The idea of design and configuration are brought forward. The method is applied in cooperative multi-platform data fusion for target recognition of the warship. The result shows that the application of D-S method in cooperative multi-platform data fusion reduce the uncertainty of target recognition compared with that in single platform data fusion by MATLAB simulative. The results indicate the theory is effective and correct.
Key words:
D-S evidence theory,
Multi-platform,
Cooperative data fusion
中图分类号:
张晓明;王航宇;黄 达. 基于D-S证据理论的多平台协同数据融合[J]. 计算机工程, 2007, 33(11): 242-243,.
ZHANG Xiao¬ming; WANG Hangyu; HUANG Da. Cooperative Multi-platform Data Fusion Based on D-S Evidence Thery[J]. Computer Engineering, 2007, 33(11): 242-243,.