摘要
太赫兹雷达大带宽、高频率等技术特点可以有效提高雷达系统对微动目标的探测精度,使得结合太赫兹雷达开展微动特征提取具有可行性。该文结合典型微动特征模型,针对时频谱曲线的提取,提出了一种基于边缘检测的时频曲线提取算法,进而获得微动特征参数。通过实测数据验证,该方法可有效提取多散射中心微动目标的特征参数,为进一步开展微动信号处理及目标识别提供了有效的技术途径。
Terahertz radar features high frequency, large bandwidth, and other characteristics, thus helpful to improve the micro-motion target detection accuracy of radar systems, and feasible to extract the feature of micro-motion target. Combing with the typical micro-motion feature model, we propose a curve extraction algorithm based on the edge detection technique for the extracting the spectrum curves and further obtaining the parameters of micro-motion targets. Real data show that the proposed technique can effectively extract the feature parameters of the micro-motion target with multiple scattering centers. This research provides effective approach for further micro-motion target signal processing and target recognition.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2018年第1期19-24,36,共7页
Journal of University of Electronic Science and Technology of China
基金
国家自然科学基金(61301265)
关键词
边缘检测
特征提取
微多普勒
太赫兹频段
edge detection
feature extraction
micro-Doppler
terahertz band
