摘要
旋转速度估计是高速旋转目标成像的基础,论文提出一种新的旋转速度估计方法,该算法基于旋转目标在距离时间域所具有的特性,在利用傅里叶变换粗略估计旋转速度的基础上,利用计算图像熵的方法在特定范围内对角速度估计值进行调整,以获得很高的估计精度。该方法直接计算整幅图像的熵值,从而不依赖单个的散射点。使用仿真数据演示了算法的性能,证明了算法的有效性。
Spinning-rate estimate is the base of rapidly spinning target imaging. A new spinning-rate estimating method is proposed in this paper. Base on the characteristic of rapidly spinning target in the range-time image, a primary estimate using Fourier transform is put forward. And it is refined in specified range by calculating the entropy of the whole image, which is independent of single scatter point. Simulations with synthetic data demonstrate the performance of the new method. The results confirm its effectiveness.
出处
《电子与信息学报》
EI
CSCD
北大核心
2009年第9期2069-2073,共5页
Journal of Electronics & Information Technology
基金
国家安全重大基础研究项目资助课题
关键词
逆合成孔径雷达
转动目标
旋转速度估计
离散傅里叶变换
ISAR(Inverse Synthetic Aperture Radar)
Spinning target
Estimation of spinning-rate
Discrete Fourier transform