Abstract
So far, the detection of helicopters, especially micro helicopters, has been widely studied, while few works are available on detection of rotor unmanned aerial vehicle (UAV). Due to its low flight height, small RCS and the complicated urban environment, the traditional methods are unable to achieve effective detection of rotor UAV. In this paper, we present a novel S transform with improved window based on t-student to deal with this problem. The simulation and field experiments all show that the proposed S transform can suppress Gaussian noise effectively, and obtain the clear time-frequency distribution of the micro-motion target. Thus, the proposed S transform provides some references for detecting the micro-motion target with small RCS and small rotation amplitude such as the rotor UAV.
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