基于时间序列分析的渔船信号分选算法  

Fishing Boat Radar Signal Sorting Algorithm Based on Time Series Analysis

作　　者：沈路[1] 赵巍 严新文 邓忆秋 陈恢明 SHEN Lu;ZHAO Wei;YAN Xinwen;DENG Yiqiu;CHEN Huiming(Southwest China Research Institute of Electronic Equipment,Chengdu 610036,China)

机构地区：[1]中国电子科技集团公司第二十九研究所,成都610036

出　　处：《电子信息对抗技术》2022年第3期1-5,15,共6页Electronic Information Warfare Technology

摘　　要：针对近海区域的渔船雷达信号由于电磁参数和位置密集而产生的信号分选难题,在对渔船雷达信号场景进行深入分析的基础上,提出一种基于时间序列分析的渔船信号分选算法。算法首先将全脉冲序列进行迭代移位相关,然后进行序列相关融合,最后提取信号的脉冲序列特征。仿真和实际数据验证表明,该算法可处理得到较为准确的分选结果,与传统分选算法相比显著提升了在复杂渔船背景下的信号适应能力。Distinguishing of fishing boat radar signal in inshore area is difficult due to the dense distributing of electromagnetic parameter and position.A signal sort algorithm based on time se-ries analysis is proposed because of fishing boat radar signal sorting problem.Firstly,iterative shift correlation is carried out on all pulses.Secondly,pulse sequence are put together and fused.Finally,characteristics of sequence signal are extracted.Practical and simulation test demonstrate that accurate sorting result can be achieved by the proposed algorithm,signal adapt-ability in complicated fishing boat signal background can be notable enhanced compared to tradi-tional sorting algorithm.

关 键 词：时间序列分析 信号分选 渔船信号 序列相关 

分 类 号：TN971.1[电子电信—信号与信息处理]