摘要
在超宽带合成孔径雷达(UWB SAR)目标鉴别性能评估中,稳健性是其中一项重要的性能指标,但关于此方面目前尚未有系统可行的评估方法提出.为此,文中提出了一种基于多项式拟合的稳健性评估方法.该方法提出了分离度一指标来衡量单信杂比情况下算法的鉴别性能,利用多项式模型实现对多信杂比情况下鉴别性能量化值的曲线拟合,提出了弹性指数的定义,并由拟合多项式得到对应的弹性指数方程,通过对弹性指数方程进行积分来实现对待评估鉴别算法稳健性的评估.基于所提出方法针对3种鉴别算法进行了评估试验,试验结果验证了方法的合理性.
The robustness is an important performance scale in target discrimination performance evaluation of UWB SAR. But no systematic and feasible evaluation approach of robustness is proposed presently. So the authors propose a robustness evaluation approach based on polynomial fitting. Firstly the discrimination performance of discrimination algorithm under single-SCR is evaluated according to the calculation of separation degree in the proposed approach. Then the discrimination performance numerical values of discrimination algorithm under multi-SCR are fitted based on polynomial model. A flexibility exponential is defined and the flexibility exponential equation of the fitted polynomial is ob- tained. Finally, we accomplish the robustness evaluation of discrimination algorithms according to the integral of the flexibility exponential equation. The evaluation experiment results of three discrimination algorithms based on the proposed approach are given to validate the rationality of the proposed approach in this paper.
出处
《武汉理工大学学报（交通科学与工程版）》
2010年第1期35-38,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金项目资助(批准号:60402034)
关键词
UWB
SAR
目标鉴别
稳健性
分离度
多项式拟合
弹性指数
UWB SAR
target discrimination
robustness
separation degree
polynomial fitting
flexibility exponential
