| 摘要: |
| 针对当前雷达辐射源信号特征提取评估的研究不够深入，存在评估方法单一和缺乏科学性等问题，提出一种新的评估方法。首先构建雷达辐射源信号特征提取评估指标体系，然后基于最小叉熵进行权重融合，并计算不同方案间的优势度，建立优势度矩阵，得到用于方案排序的统一向量形式，最后基于不同用户需求完成方案的优劣选择。仿真实验表明，该评估方法可用来选出最符合用户需求的方案，有效性检验说明了所提出方法的有效性和可行性，在雷达辐射源信号特征提取评估中具有较好的适用性。 |
| 关键词: 雷达辐射源信号 特征提取 评估 最小叉熵 优势度 |
| DOI：10.3969/j.issn.1672-2337.2018.05.007 |
| 分类号:TN971；TP391.9 |
| 基金项目:湖北省自然科学基金(No.2016CFB288)； 国家自然科学基金(No.41406049) |
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| Evaluation of Radar Signal Feature Extraction Based on Dominance Degree |
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WEI Xu，PAN Yichun，CHENG Bolin，HAN Jun，HE Huan
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Air Force Early Warning Academy，Wuhan 430019，China
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| Abstract: |
| The current research on evaluation of radar emitter signal feature extraction is insufficient and the evaluation method is simple and lack of science.To solve these problems，a novel evaluation method is proposed.Firstly，the evaluation index system of radar emitter signal feature extraction is built.Then，the weight fusion based on minimum cross-entropy is carried out.The dominance degrees of different schemes are calculated，and dominance matrix is built to get the uniform vector form for scheme sorting.At last，the scheme choice based on different user requirements is completed.According to simulation experiments，this evaluation method can select the most suitable scheme meeting user requirements.The validity test shows the effectiveness and feasibility of the proposed method.It has good applicability in the evaluation of radar emitter signal feature extraction. |
| Key words: radar emitter signal feature extraction evaluation minimum cross-entropy dominance degree |
