Micro-motion parameters extraction for UAV under LPRF condition
For solving the micro-motion parameters extraction problem of unmanned aerial vehicle(UAV)under low pulse repetition frequency(PRF)condition,a method of micro-motion parameters estimation based on atomic scaling orthogonal matching pursuit(OMP)decomposition is proposed.Firstly,the spectrum entropy of time-frequency distribution is calculated to sift out the proper segment signals from the echoes with significant micro-motion features.Then,the rotational frequency is obtained by using the variational modal decomposition(VMD),and an atomic scaling OMP algorithm is proposed to estimate the radius of the UAV rotor blade.Simulation results show that the proposed method has obvious advantages over the traditional OMP decomposition method and VMD-OMP method.Finally,the effectiveness of the proposed algorithm is also verified by using the actual measurement data.
unmanned aerial vehicle(UAV)micro-Dopplerlow pulse repetition frequencymicro-motion features
万方数据
维普
