Estimation of Micro-Doppler Parameters With Combined Null Space Pursuit Methods for the Identification of LSS UAVs

被引:4
|
作者
Zhao, Yichao [1 ]
Su, Yi [1 ]
机构
[1] Natl Univ Def Technol, Coll Elect Sci, Changsha 410035, Peoples R China
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2023年 / 61卷
基金
中国国家自然科学基金;
关键词
Doppler effect; Null space; Differential operators; Autonomous aerial vehicles; Rotors; Vibrations; Blades; Backprojection strategy with instantaneous orthogonal null space pursuit (BPIO-NSP); low; slow; and small unmanned aerial vehicles (LSS UAVs); micro-Doppler (m-D) signal; micro-Doppler null space pursuit (MD-NSP); short-time Fourier transform (STFT); FEATURE-SELECTION; RADAR;
D O I
10.1109/TGRS.2023.3264643
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Micro-Doppler (m-D) effect, induced by the rotation of rotor blades, supplies a differentiable characteristic to address the problem for the identification of low, slow, and small unmanned aerial vehicles (LSS UAVs). However, the primary challenge for the estimation of m-D parameters is how to separate weak rotation signal from Doppler signal and other interferences. Theoretically, null space pursuit (NSP) is an operator-based signal decomposition approach to decompose a signal into additive subcomponents. The premise of NSP is that two separated components are orthogonal. However, due to the different modulation models, rotation signal, Doppler signal, or other interferences could not satisfy the condition. Moreover, the traditional multiorder differential operator is not suitable for the decomposition of m-D signal. In this article, a backprojection strategy with instantaneous orthogonal NSP (BPIO-NSP) is proposed to distill Doppler signal, and then, micro-Doppler NSP (MD-NSP) is jointly developed to separate rotation signal for the identification of LSS UAVs. First, the decomposed component after NSP is applied to the short-time Fourier transform (STFT) to find the segments with instantaneous nonorthogonal property. Second, the backprojection strategy is developed in BPIO-NSP to acquire the instantaneous orthogonal data, so as to adjust the decomposed Doppler signal with high accuracy. Finally, customized operator is specially constructed in MD-NSP to achieve the required rotation signal from the residue. Simulation results verify the theoretical analysis, and measured data of the fun and UAV detection experiments suggest that the proposed methods could be served for the application of the identification of LSS UAVs.
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页数:11
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