摘要
未知信号分选是当今信息战中一项重要技术。基于相像系数的分选可以根据信号重频的调制方式不同将信号进行分类,而PRI(pulse repeat interval)变换法作为一种经典的依据到达时间进行分选的算法具有其独特的优势,但这2种方法都有各自的缺陷。采用将相像系数和PRI变换相结合的算法,首先计算雷达脉冲信号的频谱与矩形信号和三角信号的相像系数,随后依据相像系数采用模糊C均值法对信号进行聚类,最后依据PRI对聚类后的信号进行分选。模拟仿真验证了方法的有效性。
To sort unknown radar emitter is a significant technique in current information war. A method based on resembling coefficient can sort these signals with different kinds of repeating modulation ways and the pulse repetition intervals is a classical method. Both of them have their own unique advantages, but they also have some disadvantages. A method combining resembling coefficient with PRI is pro- posed. Firstly, the resembling coefficients between spectrum of radar pulse and rectangular and triangular signal are computed respectively. Secondly, the radar signals are classified by fuzzy C-means according to resembling coefficients, and then the classified signals are sorted with PRI. Simulation results show that this new method is efficient.
出处
《现代防御技术》
北大核心
2011年第3期148-151,169,共5页
Modern Defence Technology
关键词
相像系数
脉冲重复间隔
雷达辐射源
分选
resemble coefficient
pulse repeat interval（PRI）
radar emitter
sorting
作者简介
作者简介：雍霄驹（1987-），男，江苏南京人。硕士生，研究方向为智能信息处理。通信地址：710038陕西西安空军工程大学工程学院11队E-mail：baroshi@126．com
