散射
雷达
干扰(通信)
雷达成像
计算机科学
遥感
聚变中心
雷达截面
光学
逆合成孔径雷达
计算机视觉
双基地雷达
雷达工程细节
人工智能
图像质量
连续波雷达
脉冲多普勒雷达
准确度和精密度
Echo(通信协议)
低截获概率雷达
灵敏度(控制系统)
物理
雷达锁定
作者
Xin Tan,Chaoqi Wang,Fang Yang,B.M. Wu,Dongyan Zhao,Jiansheng Hu
出处
期刊:Sensors
[MDPI AG]
日期:2024-09-29
卷期号:24 (19): 6315-6315
摘要
Accurate measurement of a Radar Cross-Section (RCS) is a critical technical challenge in assessing the stealth performance and scattering characteristics of radar targets. Traditional RCS measurement methods are limited by high costs, sensitivity to environmental conditions, and difficulties in distinguishing local scattering features of targets. To address these challenges, this paper proposes a novel RCS measurement method based on enhanced imaging and scattering center extraction. This method integrates sub-aperture imaging with image fusion techniques to improve imaging quality and enhance the detail of target scattering characteristics. Additionally, an improved sequence CLEAN algorithm is employed to effectively suppress sidelobe effects and ensure the accuracy of scattering center extraction. Experimental results demonstrate that this method achieves higher precision in RCS measurement of complex targets and is particularly effective in environments with strong interference, where it successfully separates the scattering contributions of the target from those of the interference sources. This method offers a new technological approach for precise RCS measurement of radar stealth targets in the future.
科研通智能强力驱动
Strongly Powered by AbleSci AI