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.
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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