Intelligently searching the slice of ambiguity function main ridge based on superiority inheritance
基于优势遗传的模糊函数主脊切面智能搜索方法

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.