摘要
针对传统分选算法难以对电磁参数交叠、方位相近的密集分布目标进行准确分选的难题,提出一种基于天线扫描特征分析的信号分选算法。首先利用辐射源天线扫描周期的差异性,将脉冲序列按照一定的单位进行量化,然后根据天线扫描周期的相关性提取属于同一辐射源的脉冲,最后根据主瓣时间间隔的一致性对目标进行确认,克服了传统分选算法对电磁参数和方位的依赖。仿真与实际数据验证表明,与传统分选算法相比,本算法可有效提升参数交叠、且方位密集分布环境下的信号分选能力,信号分选准确率可提升30%以上。
A signal sorting algorithm based on antenna scanning feature analysis is proposed to address the difficulty of accurately sorting densely distributed targets with overlapping electromagnetic parameters and similar orientations using traditional sorting algorithms.Firstly,by utilizing the difference in scanning period of the radiation source antenna,the pulse sequence is quantified in a certain unit.Then pulses belonging to the same radiation source are extracted based on the correlation of antenna scanning cycles.Finally,the target is confirmed based on the consistency of the main lobe time interval.The dependence of traditional sorting algorithms on electromagnetic parameters and orientation is overcomed.The simulation and actual data verification show that,compared with the traditional sorting algorithm,this algorithm can effectively improve the signal sorting ability in the environment with overlapping parameters and dense azimuth distribution,and the signal sorting accuracy can be improved by more than 30%.
作者
沈路
褚心童
杜冶
杨启伦
赵巍
SHEN Lu;CHU Xintong;DU Ye;YANG Qilun;ZHAO Wei(Southwest China Research Institute of Electronic Equipment,Chengdu 610036,China)
出处
《电子信息对抗技术》
2024年第3期14-20,共7页
Electronic Information Warfare Technology
关键词
天线扫描特征
信号分选
天线扫描周期
脉冲聚类
antenna scanning characteristic
signal sorting
antenna scanning period
pulse clustering
