|
|||||
|
|
| 应用免疫策略的多传感器决策融合设计 | |
| 引用本文： | 袁晓光,杨万海,史林. 应用免疫策略的多传感器决策融合设计[J]. 电子科技大学学报(社会科学版), 2009, 0(1) |
| 作者姓名： | 袁晓光 杨万海 史林 |
| 作者单位： | 西安电子科技大学电子工程学院; |
| 基金项目： | 国家自然科学基金(60472085) |
| 摘 要： | 使用基于改进型人工免疫策略的优化算法,在统计相关的观测条件下,对固定融合规则的基于奈曼-皮尔逊准则的分布式多传感器决策融合系统进行优化设计。算法首先以筛选算子进行预搜索缩小范围,然后使用人工免疫策略方法进行全局搜索,计算过程无须使用目标函数的导数信息。对分布式多传感器决策融合系统的优化设计结果表明,优化算法在收敛性和精度上均优于传统梯度算法,并在此基础上对不同信号期望值下的最优融合规则进行了讨论。 |
| 关 键 词： | 人工免疫策略 筛选算子 多传感器决策融合 奈曼-皮尔逊准则 |
Multi-Sensor Decision Fusion Design Based on Immune Strategy |
|
| YUAN Xiao-guang,YANG Wan-hai,, SHI Lin. Multi-Sensor Decision Fusion Design Based on Immune Strategy[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 2009, 0(1) | |
| Authors: | YUAN Xiao-guang YANG Wan-hai SHI Lin |
| Abstract: | A method based on an improved artificial immune strategy is introduced for the optimization of distributed multi-sensor decision fusion systems under Neyman-Pearson criteria for the cases with statistically dependent observation and fixed fusion rule. The object function is optimized in two steps without any information of its derivation: filter operator is used for pre-search to reduce the search space and then an artificial immune strategy is applied for the global search. The experimental results show th... |
| Keywords: | artificial immune strategies filter operator multi-sensor decision fusion Neyman-Pearson criteria |
| 本文献已被 CNKI 等数据库收录！ | |