An Adaptive and Accurate Method for Rotational Angular Velocity Estimation of Rotor Targets via Fourier Coefficient Interpolation

As a special micro-motion feature of rotor targets, rotational angular velocity can provide discriminant basis for target classification and recognition. In this paper, an adaptive accurate method is proposed estimating the targets via Fourier coefficient interpolation algorithm that based on modified frequency index residue initialization. The negative complex exponential signal component removed at each iteration to eliminate estimation bias caused by spectrum superposition improve accuracy. initialization modified, normalized spectrum, estimable range reduce computational complexity algorithm. simulation results show performance achieves Cramér–Rao lower bound outperforms state-of-the-art methods in terms accuracy velocity.