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Article 9-5-2019

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MICRO DOPPLER FEATURE EXTRACTION OF PEDESTRIAN
AND AUTOMOBILE USING TWO DIMENSIONAL
FAST FOURIER TRANSFORM

Andrey V. Pluchevskiy,
JSC «Cognitive», Moscow, Russia; 
Tomsk State University of Control Systems and Radioelectronics (TUSUR), Tomsk, Russia
pluch.andry@gmail.com

Abstract
The current development of microwave and semiconductor technologies provides an ability to use 24 GHz and higher carrier frequencies in radar devices. The higher frequencies provide not only better characteristics but also allow to measure effects that are unavailable on previous frequencies due to low resolution. Thus, it is possible to improve characteristics and improve the abilities of automotive radar systems by measuring, analyzing and processing such effects. This paper represents the analysis method of a radar signal modulated due to the micro-Doppler effect in unmanned vehicle systems. The analysis shows the connection between the physical movement parameters of the road scene objects and the result of the twodimensional Fourier transform of the micro-Doppler signal. A pedestrian and an automobile are treated as the road scene objects. The uniform and the accelerated type of movement are studied. The proposed technique is based on vertical and horizontal frequency estimation of a micro-Doppler signal periodic structure. The essential feature of a pedestrian that distinguishes them from an automobile is the vertical periodic components in the micro-Doppler signal.
These components implicitly depend on pedestrian velocity and are determined by arm and leg movements. The experiment results verify that the proposed technique corresponds to a theoretical description. The proposed technique can be used in unmanned vehicles and the automotive active safety field. The method is suitable for computer vision systems and is intended for the design of radar automatic target recognition systems.

Keywords: micro-Doppler, Fourier transform, 2D FFT, pedestrian feature extraction, automotive radar.

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Information about author:
Andrey V. Pluchevskiy, Junior development engineer, radiolocation department, JSC «Cognitive», Moscow, Russia; 
graduate student, assistant, Tomsk State University of Control Systems and Radioelectronics (TUSUR), Tomsk, Russia