基于增强成像和散射中心提取的雷达目标雷达散射截面测量

Radar Target Radar Cross-Section Measurement Based on Enhanced Imaging and Scattering Center Extraction.

作者信息

Tan Xin, Wang Chaoqi, Fang Yang, Wu Bai, Zhao Dongyan, Hu Jiansheng

机构信息

School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710016, China.

State Key Laboratory for Strength and Vibration of Mechanical Structures, Shaanxi Engineering Research Centre of NDT and Structural Integrity Evaluation, School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an 710049, China.

出版信息

Sensors (Basel). 2024 Sep 29;24(19):6315. doi: 10.3390/s24196315.

DOI:10.3390/s24196315

PMID:39409356

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11478754/

Abstract

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.

摘要

精确测量雷达散射截面（RCS）是评估雷达目标隐身性能和散射特性的一项关键技术挑战。传统的RCS测量方法受到高成本、对环境条件敏感以及难以区分目标局部散射特征等因素的限制。为应对这些挑战，本文提出了一种基于增强成像和散射中心提取的新型RCS测量方法。该方法将子孔径成像与图像融合技术相结合，以提高成像质量并增强目标散射特征的细节。此外，采用了改进的序列CLEAN算法来有效抑制旁瓣效应，并确保散射中心提取的准确性。实验结果表明，该方法在复杂目标的RCS测量中实现了更高的精度，并且在强干扰环境中特别有效，能够成功地将目标的散射贡献与干扰源的散射贡献区分开来。该方法为未来雷达隐身目标的精确RCS测量提供了一种新的技术途径。