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Journal of Information Science and Engineering, Vol. 31 No. 2, pp. 743-757

Parametric Methods Comparisons for Parameter Estimation of Polynomial Phase Signals

XIUMEI LI¹ AND GUOAN BI²
¹School of Information Science and Engineering
Hangzhou Normal University
Zhejiang, 311121 P. R. China
E-mail: xiumei_li@hotmail.com
²School of Electrical and Electronic Engineering
Nanyang Technological University
639798 Singapore
E-mail: egbi@ntu.edu.sg

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.

Keywords: polynomial phase signal, parameter estimation, maximum likelihood estimation methods, suboptimal maximum likelihood estimation methods

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