相控阵和频率分集阵双模式雷达联合目标检测  

Joint target detection based on phased array and frequency diverse array dual-mode radar

在线阅读下载全文

作  者:朱晶晶 朱圣棋[1] 廖桂生[1] 许京伟[1] 兰岚[1] 曾操[1] ZHU Jingjing;ZHU Shengqi;LIAO Guisheng;XU Jingwei;LAN Lan;ZENG Cao(National Key Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China)

机构地区:[1]西安电子科技大学雷达信号处理全国重点实验室,陕西西安710071

出  处:《系统工程与电子技术》2023年第5期1342-1350,共9页Systems Engineering and Electronics

基  金:国家自然科学基金(61931016,62071344,62101402,61911530246);国家重点实验室装备发展研究基金(6142206200210);中国博士后科学基金(2021TQ0261,2021M702547)资助课题。

摘  要:传统相控阵发射方向图仅是角度的函数,而频率分集阵发射方向图是距离/时间角度的函数,发射方向图的差异使得两种体制各具不同的应用优势。本文提出一种相控阵和频率分集阵双模式体制联合目标检测方法。分析了双模式雷达的发射方向图特性,阐明了相控阵发射功率聚焦与频率分集阵角度宽覆盖结合的优势,提出了相控阵和频率分集阵双模式联合最优检测器,基于检测概率、检测信噪比对比分析了双模式体制相比于单一模式体制的目标检测性能改善。研究表明,相控阵和频率分集阵双模式雷达不仅在主瓣方向具有最优的目标检测性能,而且可以在较小信噪比损失的条件下兼顾旁瓣区域的目标检测性能。The transmit beampattern of traditional phased array(PA)is only a function of angle,while that of the frequency diverse array(FDA)is a function of range/time-angle.Considering that they have different advantages in application with different transmit beampattern characteristics,a joint detection method based on PA and FDA dual-mode framework is proposed in this paper.The transmit beampattern characteristics of the dual-mode framework is analyzed.The superiority of combining focused transmit energy of PA and fully spatial coverage of FDA is demonstrated.A joint optimal detector of PA and FDA dual-mode radar is proposed,and the performance enhancement based on probability of detection and detector’s signal-to-noise ratio in target detection compared with single mode is given.It is shown that,the PA and FDA dual-mode radar not only gets the optimal detection performance in the mainlobe,but also detects the targets in the sidelobe with the smaller signal-to-noise ratio loss.

关 键 词:相控阵 频率分集阵 双模式雷达 目标检测 

分 类 号:TN957.52[电子电信—信号与信息处理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象