电讯技术Issue(3)：321-327,7.DOI:10.3969/j.issn.1001-893x.2015.03.016
一种稳健的通信辐射源个体识别方法
A Robust Specific Communication Emitter Identification Method
黄欣 1郭汉伟2
作者信息
- 1. 中国西南电子技术研究所，成都610036
- 2. 北京科航军威科技有限公司，北京100044
- 折叠
摘要
Abstract
Specific communication emitter identification is a hot topic and difficult issue in the field of com-munications countermeasures and specific emitter idendification of communication emitter is more difficult and complex than that of radar emitter due to weaker signal and transient characteristics. In this paper, the long-time spectrum feature of specific communication emitter is used to extract the peak and envelope tem-plates in power spectrum domain and construct the specific vector feature. Combining the Naive Bayes clas-sifier with the specific vector feature can effectively identify the communication emitters under the condition of enough training sample number. Actual test results show that the identification method is robust and ef-fective,with the correct recognition probability of 93. 7% when signal-to-noise ratio(SNR) is 5 dB.关键词
通信对抗/通信辐射源个体识别/峰值提取/包络特征/模板匹配/模式识别Key words
communication countermeasure/specific communication emitter identification/peak extraction/envelope features/template matching/pattern recognition分类
信息技术与安全科学引用本文复制引用
黄欣,郭汉伟..一种稳健的通信辐射源个体识别方法[J].电讯技术,2015,(3):321-327,7.
