Parameter estimation for HFM signals using combined STFT and iteratively reweighted least squares linear fitting
A method combing STFT and IRLS linear fitting for estimating parameters of HFM signals is proposed. The proposed method transforms a complex nonlinear problem into a linear one. The lower bound of the estimator's variance and bias of the parameters of HFM signals are derived. Both simulation results and processing of sea trial data are presented. The proposed method is generic and may be applied to any TF representation.
iteratively reweighted least squares hyperbolic frequency modulated signals instantaneous frequency zero crossing interval short-time fourier transform