基于证据融合的雷达反隐身性能评估方法

针对雷达反隐身性能评估过程复杂、算法不完善等现象,提出了一种基于改进证据融合算法的雷达反隐身性能评估方法.针对证据源主观性强、关联性差等现象,依据熵理论、欧式距离等客观分析得到了可信度因子与熵权值、受支持系数间的变化关系,实时修正了可信度分配函数.并结合雷达反隐身分层次性能评估指标体系,建立了基于效用区间的雷达反隐身性能优劣比较方法,得出了客观、准确的评估结果.算例分析和仿真表明,与一般融合算法相比,改进的证据融合算法系统评估能力更强、鲁棒性更好.

Evaluation method for radar anti-stealth performance based on evidence fusion

Aiming at the phenomenon of complicated process and imperfect algorithm in the evaluation of radar anti-stealth performance, a new method for the evaluation based on improved evidence theory was presented. Firstly, to overcome the shortcomings of strong subjectivity and weak correlation, the credibility assignment function was corrected in real time according to the relationship among credibility factor, entropy weight and supported coefficient, which is based on the objective analysis of entropy theory and Euclidean distance. Secondly, combined with the multi-hierarchy indexes of radar anti-stealth performance, the rank order of whole radars anti-stealth performance on utility interval was attained. At last, an objective and accurate assessment results were obtained. The analysis of theory and simulation proved that, in contrast to other fusion algorithm, the improved fusion algorithm had better ability of assessment and better robustness.