摘要
针对辐射源识别率较低的问题,提出一种基于模糊集和指纹特征的特定辐射源分布式传感器信息融合识别算法。利用特定辐射源脉冲上升沿和下降沿作为指纹特征,借助模糊集理论构造基本概率赋值函数,然后由分布式传感器进行时域、空域融合,最后基于基本概率赋值函数的决策规则和专家经验知识完成特定辐射源识别。实验结果表明,利用该算法搭建的识别系统实用有效。
Aiming at the lower identification rate of Specific Emitter Identification （ SEI）, a novel distrib- uted sensors information fusion identification algorithm based on fuzzy sets and fingerprint was proposed. Pulse rising edge and falling edge were used as fingerprint, and basic probability assignment function was constructed with fuzzy sets. Multi-periods fusion and multi-sensors fusion were carried out. At last, SEI was completed by decision making and expert experience. Experiments demonstrate that the constructed identification system is practical.
出处
《中国电子科学研究院学报》
2012年第2期140-144,共5页
Journal of China Academy of Electronics and Information Technology
