基于复合赋权TOPSIS的雷达工作模式识别

Radar Operation Mode Recognition Based on Composite Weighted TOPSIS

针对雷达工作模式识别提出了一种基于复合赋权TOPSIS的识别方法。首先计算待识别脉冲串与备选工作模式参数的隶属度得到决策矩阵,并对其进行规范化;然后,采用层次分析法获得各识别指标的主观权值,用熵权法获得客观权值,再以线性组合的方式对主客观权值进行融合,得到复合权值,并用复合权值对规范化决策矩阵赋权。最后,利用TOPSIS多属性决策模型进行识别。仿真结果表明,基于复合赋权TOPSIS的雷达工作模式识别算法具有较高的识别正确率和可靠性,且在雷达参数测量存在误差的情况下优于SVM算法。

A method based on composite weighted TOPSIS is proposed for radar operation mode recognition.First,the decision matrix is obtained by calculating the membership degree between the pulse train to be identified and the candidate operation mode parameters,and normalized.Then,the subjective weights and objective weights of each identification indexes are obtained by AHP and entropy method respectively.Next,we combine the subjective and objective weights by linear combination to get composite weight,and use it to weight the normalized decision matrix.Finally,the TOPSIS multiple attribute decision making model is adopted to identify the radar operation mode.The simulation results show that the radar operation mode recognition algorithm based on composite weighted TOPSIS has high recognition accuracy and reliability,and is superior to SVM algorithm in the condition of radar parameter measurement error.