The helicopter target detection based on micro-Doppler analysis and implementation

Aiming at the environment in the city, a classify identify method for helicopter targets based on micro-Doppler analysis is proposed. Specifically, we firstly detect the linear frequency modulation component of echo signals by using multi-order fractional Fourier transform and classify targets, and...

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Bibliographic Details
Main Authors: Xie, Yan-An, Tao, Ran, Miao, Hong-Xia, Ma, Jin-Ming
Format: Conference Proceeding
Language:English
Subjects:
Classification
Computer simulation
Conferences
Feasibility
Fourier transforms
fractional Fourier transform
Frequency modulation
Helicopters
micro-Doppler
Radar
Radon
Rotors
Time-frequency analysis
time-frequency distribution
Wigner distribution
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Description
Summary:Aiming at the environment in the city, a classify identify method for helicopter targets based on micro-Doppler analysis is proposed. Specifically, we firstly detect the linear frequency modulation component of echo signals by using multi-order fractional Fourier transform and classify targets, and then, we identify the suspicious target by using fractional Fourier transform, Wigner distribution along with tomographic imaging principle. By making use of the characteristics of discrete fractional Fourier transform, the operator is implemented and its discrete parallel computing structure is given. Finally, simulations verify its feasibility.
ISSN:2161-2927
1934-1768
DOI:10.1109/ChiCC.2016.7554153