基于优势遗传的模糊函数主脊切面智能搜索方法

提取和补充新的信号参数是解决复杂体制雷达辐射源信号分选难题的有效手段，模糊函数主脊切面特征是众多新特征参数中较为可行的特征之一。为更快速地搜索信号的模糊函数主脊切面，本文构建了一种优势遗传搜索的智能算法，并采用统计假设检验理论对数据进行分析和检验。实验结果表明，所提方法可使模糊函数主脊切面的平均搜索耗时降低为原方法的28.6%，且能以较高的概率成功搜索到精度更高的切面特征，证实了所提方法的有效性和可行性。

Intelligently searching the slice of ambiguity function main ridge based on superiority inheritance

Extracting the novel signal parameters is an effective means to solve the sorting problems of complex radar emitter signals. The features of the slice of ambiguity function main ridge are one of the most feasible parameters in various characteristics. To search the slice of ambiguity function main ridge of signal more quickly, a smart search algorithm based on superiority inheritance is constructed and statistical hypothesis testing theory is used to analyze and test the obtained data. The results of simulation experiments show that, the proposed method can reduce the time of searching the slice of ambiguity function main ridge to 28.6% compared with the original method, and it has a high success rate to search the slice which has higher accuracy. The experimental results verify the effectiveness and feasibility of the proposed method.