摘要
为了对雷达系统进行正确的效能评估,提出一种将偏好规划引入到雷达系统效能评估中的方法。该方法引入偏好规划理论,采用多层值树进行建模,将RICH法的应用范围拓展到多层值树的求解中,提出了基于多层值树的权重算法,并对雷达系统效能评估进行仿真示例验证。仿真结果证明,该方法有效,可在不确定信息条件下对雷达的效能优劣进行排序。
In order to correct evaluation of radar system performance, the preference programming is introduced to the radar system performance evaluation. The multi-level value tree model is used to establish model, and the algorithm of RICH is extended to the solution of the multi-level value tree. The weight algorithm based on multi-level value tree is presented. Finally, the method is verified with a simulation example for synthetic performance evaluation of radars with uncertain information. The simulation results show that the method is effective, the radar performance under uncertain information can be ranked by it.
出处
《兵工自动化》
2012年第10期40-43,共4页
Ordnance Industry Automation
基金
国家863项目(2010AA8090514C)
关键词
效能评估
不确定信息
偏好规划
多层值树
performance evaluation
uncertain information
preference programming
multi-level value tree
