Application of Hilbert-Huang transform to MMW Doppler radar
Application of Hilbert-Huang transform to MMW Doppler radar
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DOI：
10.1109/icmmt.2008.4540698
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发表时间：
2008-04
期刊：
影响因子：
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通讯作者：
Wenwu Chen;Rushan Chen;D. Ding
中科院分区：
文献类型：
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作者：
Wenwu Chen;Rushan Chen;D. Ding
推出毫米波 (MMW) 多普勒雷达。由于多普勒频移与目标速度成正比，因此如果目标速度线性变化，则回波是线性调频（LFM）信号。特别是如果雷达用于分析分布式目标，则存在多分量LFM信号。传统的时频分析方法，包括短时傅里叶变换（STFT）、维格纳-维尔分布（WVD）和小波分析，通常不适用于非平稳信号。提出了一种基于Radon变换和Hilbert-Huang变换（HHT）的多分量LFM信号分析新方法，HHT是最近发展起来的一种适应非平稳信号的方法。通过经验模态分解（EMD）将回波分解为多个本征模态函数（IMF）。计算出IMF对应的瞬时频率和希尔伯特谱后，利用希尔伯特谱平面上的Radon变换得到目标速度参数估计。仿真结果表明了该方法的可行性和有效性。
A millimeter wave (MMW) Doppler radar is introduced. As the Doppler shift is directly proportional to the target speed, the echo is a linear frequency modulated (LFM) signal if the target speed changes linearly. Especially, multicomponent LFM signal exists if the radar is used to analyze the distributed target. The conventional time-frequency analysis methods including short-time Fourier transform (STFT), Wigner-Ville distribution (WVD), and wavelet analysis are not generally adaptive to nonstationary signals. A new approach is proposed to analyze multicomponent LFM signals based on Radon transform and Hilbert-Huang transform (HHT) which is a recently developed method adaptive to nonstationary signals. The echo is decomposed into several intrinsic mode functions (IMF) by the empirical mode decomposition (EMD). After the instantaneous frequency and Hilbert spectrum corresponding to IMFs are computed, target velocity parameter estimation is obtained using Radon transform on the Hilbert spectrum plane. The simulation result shows its feasibility and effectiveness.