组网雷达中弹道目标微动特征提取与识别综述

针对组网雷达中弹道中段目标微动特征难以识别与分辨的问题,文中分析了弹道中段目标微动特征的差异,总结了基于低分辨雷达网和高分辨成像雷达网的雷达目标微动特征提取技术在反导预警探测中的应用与研究现状,并分析了此类识别手段的优缺点。在此基础上,探讨了今后低分辨雷达和高分辨成像雷达相结合的混合体制雷达网在弹道中段目标识别中的主要研究方向,为进一步推动组网雷达中弹道目标识别研究提供参考和基础。...

Full description

Saved in:
Bibliographic Details
Published in雷达学报 Vol. 4; no. 6; pp. 609 - 620
Main Author 冯存前 李靖卿 贺思三 张豪
Format Journal Article
LanguageChinese
Published 空军工程大学防空反导学院 西安710051 2015
信息感知技术协同创新中心 西安710077%空军工程大学防空反导学院 西安710051
Subjects
微动特征
微多普勒
成像特征
混合体制雷达网
微动特征
微多普勒
混合体制雷达网
成像特征
Online AccessGet full text
ISSN2095-283X
DOI10.12000/JR15084

Cover

More Information
Summary:针对组网雷达中弹道中段目标微动特征难以识别与分辨的问题,文中分析了弹道中段目标微动特征的差异,总结了基于低分辨雷达网和高分辨成像雷达网的雷达目标微动特征提取技术在反导预警探测中的应用与研究现状,并分析了此类识别手段的优缺点。在此基础上,探讨了今后低分辨雷达和高分辨成像雷达相结合的混合体制雷达网在弹道中段目标识别中的主要研究方向,为进一步推动组网雷达中弹道目标识别研究提供参考和基础。
Bibliography:Micro-motion feature; Micro-Doppler; Imaging feature; Hybrid-scheme radar network
Feng Cun-qian,Li Jing-qing,He Si-san,Zhang Hao 1（Air and Missile Defense College, Air Force Engineering University, Xi＇an 710051, China）2（Collaborative Innovation Center of Information Sensing and Understanding, Xi＇ an 710077, China）
10-1030/TN
This study examines the complexities of using netted radar to recognize and resolve ballistic midcourse targets. The application of micro-motion feature extraction to ballistic mid-course targets is analyzed,and the current status of application and research on micro-motion feature recognition is concluded for singlefunction radar networks such as low- and high-resolution imaging radar networks. Advantages and disadvantages of these networks are discussed with respect to target recognition. Hybrid-mode radar networks combine low- and high-resolution imaging radar and provide a specific reference frequency that is the basis for ballistic target recognition. Main research trends are discussed
ISSN:2095-283X
DOI:10.12000/JR15084