| 摘要: |
| 针对捷变雷达信号载频、脉冲重复间隔、脉宽等多参数捷变导致传统参数匹配识别率低、鲁棒性差的问题，提出一种基于最邻近相似度模型的捷变雷达辐射源识别方法。该方法通过测量提取多组载频、重复间隔、脉宽等测量准确的强特征参数与脉内时频特性特征相结合，利用正态型隶属度函数构建基于最邻近相似度模型，对多组捷变参数进行累加匹配计分，以总得分最高为判定准则输出识别结果。仿真结果表明，该方法在宽带捷变条件下的识别鲁棒性优于传统方法，算法复杂度低、时效性强，具有良好的工程应用前景。 |
| 关键词: 捷变雷达 辐射源识别 最邻近相似度模型 计分制 |
| DOI： |
| 分类号:TN971 |
| 基金项目: |
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| Based on Nearest Neighbor Similarity Model |
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| Abstract: |
| Aiming at the problems of low recognition accuracy and poor robustness of traditional single-group parameter matching caused by the multi-parameter agility of carrier frequency, pulse repetition interval and pulse width in agile radar emitters, an agile radar emitter identification method based on Nearest Neighbor Similarity Model is proposed. Taking the core parameter-features of radar emitter, developing the nearest neighbor similarity model by Gaussian membership degree function, the total matching score is obtained by accumulating the scores of multi-group matching, and the identification result is output with the criterion of the highest total score. The simulating results indicate that the proposed method has better recognition robustness than the traditional methods under broadband agility conditions and holds great potential for practical engineering applications with low implementation complexity and sensitive time. |
| Key words: Agile radar Emitter identification Nearest Neighbor Similarity Model Scoring system |