A Signal Decomposition and Parameter Estimation Method for Multi-Rotor UAV

Abstract

The micro-Doppler modulation caused by the rotor on the unmanned aerial vehicle(UAV) can be employed to recognize UAV. However, it will be a challenging issue when serveral rotors on a UAV and multiple targets in the same scene, which directly leads to multicomponent micro-Doppler existing in the radar echo. In this paper, we firstly proposed a novel algorithm for multicomponent micro-Doppler signal decomposition and parameter estimation. The algorithm mainly contains a signal decomposition method utilizing Hough transform and a parameter estimation method based on matching kernel function. When appropriate parameters are chosen to match with the time-frequency characteristics of a certain component the energy distribution of the time-frequency representation is significantly improved and the energy distribution of other components is more dispersed. We have verified the algorithm with simulation and actual experiments, the result shows that the algorithm works well and effectively.