摘要
为了解决压缩感知步进频雷达在低信噪比下的目标检测问题,结合传统雷达的恒虚警检测和压缩感知雷达重构思想,建立基于压缩感知的步进频雷达的目标检测模型,利用复近似消息传递消息的特性,提出了一种基于多脉冲的重构算法,并结合恒虚警检测实现了低信噪比下的压缩感知步进频雷达目标检测。仿真结果表明:文中所提的方法提高了检测概率,改善了目标检测性能。
Target detection of step frequency radar （SFR） with compressive sensing （CS） in low signal-to-noise ratio （ SNR） scene is addressed. CS radar is combined with conventional constant false alarm rate （ CFAR） processing. The model of target detection in CS based SFR is established. Inspired by CAMP algorithm, we propose a CS reconstruction algorithm with multi-pulses. In combination with CFAR detection, radar target detection in CS based SFR is then accomplished in low SNR scene. Simulation results show that the proposed algorithm improves the detection probability and enhances the performance of target detection.
出处
《现代雷达》
CSCD
北大核心
2015年第9期22-25,共4页
Modern Radar
基金
国家自然科学基金资助项目(61071163
61071164
61271327
61471191)
南京航空航天大学博士学位论文创新与创优基金资助项目(BCXJ14)
江苏高校优势学科建设工程资助项目(PADA)
关键词
压缩感知
步进频雷达
目标检测
低信噪比
compressive sensing
step frequency radar
target detection
low signal-to-noise ratio
