针对以往雷达信号识别效能评估方法中评估指标选取模糊、指标权重设置单一、评估排序不合理的问题,提出了基于IAHP-Entropy-I2TOPSIS模型改进的雷达信号识别效能评估方法。其主要思路是基于识别率测试结果建立树状评估指标体系;采用IAHP和Entropy分别确定主观指标权重和客观指标权重,并通过线性组合方法确定综合权重;运用区间型多属性决策的夹角度量法改进区间TOPSIS得到I2TOPSIS并依此进行评估排序。最后通过实例仿真,验证了所提方法的有效性。

In order to solve the problems of radar signal recognition methods in fuzzy evaluation index selection, single method for index weight determination and unreasonable assessment order, an improved radar signal recognition evaluation method based on IAHP-Entropy-I2TOPSIS model is put forward. The method builds tree viewer evaluation indexes system based on measurement of recognition rate. In this model, the subject and object weight are calculated by IAHP and Entropy method. The linear combination method is used to determine the comprehensive weight. ITOPSIS method is optimized by using the method of inclination measurement for interval multi-attribute decision-making. The optimization method is I2TOPSIS, which is used to evaluate and order. Finally, the results of case simulation show the validity of the proposed method.

TN971

航空科学基金资助项目