Statistical performance comparison of a parametric and a non-parametric method for IF estimation of random amplitude linear FM signals in additive noise

This paper presents a statistical performance comparison between the cyclic moments-based and Wigner-Ville distribution-based instantaneous frequency estimators for linear FM signals in real valued multiplicative and complex-valued additive noise. Theoretical results are used to compare the performance of the estimation algorithms over a wide range of conditions. Simulation results confirm our theoretical derivations.