Robust DFT-based signal processing in Micro-Doppler radars

V. Lukin, A. Roenko, A. Totsky, Djurovic Igor
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引用次数: 2

Abstract

Micro-Doppler (mD) radar is an efficient tool for surveillance systems and they are rapidly developing now [1]. One reason for this is the potential ability of mD radars to provide additional information (features) useful for recognition of objects extracted from short-time spectral or higher-order estimates [2]. In particular, it is known that a signal reflected from a walking human represents a set of harmonics reflected by different parts of a human body. These harmonics have amplitudes and frequencies changing in time. Joint analysis of these frequencies and their evolution in time serve as aforementioned features that are to be retrieved.
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基于dft的鲁棒微多普勒雷达信号处理
微多普勒(mD)雷达是一种高效的监测工具,目前发展迅速[1]。其中一个原因是,mD雷达有可能提供额外的信息(特征),用于从短时光谱或高阶估计中提取物体的识别[2]。特别是,已知从行走的人反射的信号代表了人体不同部位反射的一组谐波。这些谐波的振幅和频率随时间变化。这些频率的联合分析和它们在时间上的演变作为上述要检索的特征。
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Numerical model for calculating eigen-mode spectrum of complicated cross-section waveguides Energy of activation of saccharose in solutions Robust DFT-based signal processing in Micro-Doppler radars Coupled disk, half-disk and spiral resonators with whispering gallery-like modes Azimuth angle errors as affected Fresnel diffraction on the large obstacles
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