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. Aiming at the phenomenon of complex anti-stealth performance evaluation process and imperfect algorithm, a new anti-stealth performance evaluation method based on improved evidence fusion algorithm is proposed. According to the strong subjectivity and poor correlation of evidence sources, based on entropy theory, Euclidean distance Objective analysis of the credibility factor and the entropy weight value, by the relationship between the variation of the support coefficient, real-time correction of the credibility distribution function. Combined with radar anti-stealth hierarchical performance evaluation index system, based on the utility range of the radar Compared with the common fusion algorithm, the improved evidential fusion algorithm has better system evaluation ability and better robustness.