Parametric Methods Comparisons for Parameter Estimation of Polynomial Phase Signals

Parameter estimation of polynomial phase signals (PPSs) is of great interest in various practical applications. In this paper, parametric methods for parameter estimation of polynomial phase signals are discussed and compared. The suboptimal maximum likelihood estimation methods, such as the high-order ambiguity function (HAF) and the product HAF (PHAF) are presented. The polynomial time frequency transform (PTFT) is introduced as the maximum likelihood estimation method. Comparisons are given in estimation variance, output SNR, error propagation effect, and computation time to show the advantages and disadvantages of the two kinds of estimation methods.