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机构地区:[1]长春理工大学电子信息工程学院,长春130022
出 处:《电讯技术》2016年第11期1201-1207,共7页Telecommunication Engineering
基 金:国防装备预研项目(40405050302)~~
摘 要:针对战场典型复杂微动目标的检测问题,提出了一种基于能量聚焦的微动目标检测方法。首先对3种复杂微动目标雷达回波的微多普勒特性进行了建模和仿真,分析了回波多普勒的频域和时频域特性,提取了雷达回波多普勒时频分析数据的能量聚焦特性,并提出了一种基于能量聚焦的广义似然比微动目标检测器。数值仿真表明,在不同的信噪比和虚警概率条件下,该检测器均可实现对3种复杂微动目标的有效检测。In order to detect the typical complex micro-motion targets in battlefield,a micro-motion targets detection method based on energy focusing is proposed. First,the models of three complex micro-targets are established and simulated,their frequency-domain and time-frequency domain characteristics are analyzed,the frequency energy focusing characteristics of the echo time-frequency data are extracted. Then,a generalized likelihood ratio test ( GLRT) detector for micro-motion targets based on energy focusing efficiency is proposed. The numerical simulation shows that the GLRT has a good performance under different echo signal-to-noise ratio (SNR) and false alarm probability conditions.
分 类 号:TN959.6[电子电信—信号与信息处理]
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