重庆科技大学学报（自然科学版）2024，Vol.26Issue(4)：124-130,7.DOI:10.19406/j.issn.2097-4531.2024.04.017
一种新型雷达探测方法
A New Type of Radar Detection Method
摘要
Abstract
The target echo signals are often very weak in low signal-to-noise(SNR)ratio scenarios and it is diffi-cult for radar to detect the signals,which includes some important information that are more difficult to identify.Therefore,effective measures are adopted to explore weak SNR targets affected by noise.This study uses the tech-nique of time-space synchronization fusion of networked radar echo data to align and superimpose multiple sets of radar echo information in time and frequency.Through single class signal simulation testing,under the same condi-tions,targets that ordinary radars cannot accurately identify can be effectively recognized through the superposition signal.This method is still applicable through mixed testing of multiple types of radar signals.Experiments prove that this method is effective and has a wide range of adaptability,which can be extended to other fields of radar sig-nal processing and provide a new approach for radar signal processing.关键词
组网雷达/时频同步/匹配滤波/目标探测Key words
networked radar/time-frequency synchronization/matched filtering/target detection分类
信息技术与安全科学引用本文复制引用
张涛..一种新型雷达探测方法[J].重庆科技大学学报（自然科学版）,2024,26(4):124-130,7.基金项目
安徽省高校优秀拔尖人才培训项目"高校优秀青年骨干人才国内访学研修项目"(GXGNFX2022128) （GXGNFX2022128）
淮南联合大学创新团队项目"新型雷达信息处理技术创新团队"(LCX2302) （LCX2302）
