欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
为提高海杂波中慢速目标的检测性能,该文提出了一种基于IMF方差特性差异的目标检测技术。该算法对原始信号经经验模态分解后得到的固有模态函数进行分段数据重构,计算前端IMF分量与后端IMF分量的方差比,并将其输入非参量检测器中进行目标检测。研究表明,相比于海杂波单元,目标单元有更小的前后端IMF分量方差比,适用于慢速目标的检测。
英文摘要：
In order to improve detection performance against slow target in sea clutter,target detection technology based on variance characteristic differences is proposed. Firstly,for getting Intrinsic Mode Function（ IMF） after data reconstruction,the original signal is decomposed by using Empirical Mode Decomposition（ EMD）,then the variance ratio of IMF is calculated and target is detected by nonparametric detector. The results show that,comparing with sea clutter bin,the variance ratio of IMF is bigger in target bin,the technology is suitable for slow target detection.
同期刊论文项目
同项目期刊论文
Detection of a low observable sea-surface target with micromotion via theRadon-linear canonical tran
Effective coherent integrationmethod for marine target with micromotion via phase differentiation an
Sea clutter suppression and micromotion marine target detection via Radon-linear canonical ambiguity
Detection of low observable moving target in sea clutter via fractal characteristics in fractional F
Maneuvering target detection via Radon-fractional Fourier transform-basedlong-time coherent integrat
Adaptive fractional Fourier transform-based detection algorithm formoving target in heavy sea clutte
Radon-linear canonical ambiguity function-based detection and estimation method for marine target wi
Effective coherent integration method for marine target with micromotionvia phase differentiation an
Maneuvering Target Detection via Radon-Fractional Fourier Transform-Based Long-Time Coherent Integra
Detection of a Low Observable Sea-Surface Target With Micromotion via the Radon-Linear Canonical Tra
期刊信息
位置：