Open AccessExtraction of Micro-Doppler Frequency From HRRPs of Rotating Targets
Author(s) -
Xiao-Yi Pan,
Jiaqi Liu,
Le-Tao Xu,
Xia Ai,
Qianpeng Xie,
Bo Yu,
Cheng Li
Publication year - 2017
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2017.2750222
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Micro-motion dynamics, such as rapid rotation, vibration and spinning motion, impose additional time-varying frequency modulation on the returned radar signals, which is known as the micro-Doppler (m-D) effect. Micro-Doppler frequency is considered as a stable and unique feature, where the uniqueness means that different micro-motions have distinct signatures. Thus, radar m-D feature extraction is of great potential in target classification and identification. This paper presents m-D frequency estimation from the HRRPs of rotating targets in frequency-stepped signal (FSS) based on the circular correlation (CC) coefficients and the circular average magnitude difference (CAMD) coefficients. The m-D frequency of rotating targets can be estimated accurately from the two proposed methods and the corresponding computational cost burden is also investigated. The accuracy and efficiency of the estimations are compared and revealed by the simulated trials and experimental data.
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