Coefficient estimation of multicomponent polynomial phase signal (PPS) using MAML-HAF

Author

Zhou, Jun ; Leyman, A. Rahim

Author_Institution

Div. of Inf. Eng., Nanyang Technol. Univ., Singapore

Volume

3

fYear

1997

fDate

9-12 Sep 1997

Firstpage

1393

Abstract

The problem of coefficient estimation for a multicomponent polynomial phase signal (PPS) embedded in additive white Gaussian noise, is addressed. Through analysis, we find that estimation using the multi-lag high order ambiguity function (ML-HAF) suffers from not only harmonic ambiguity problem, but also the harmonic leakage problem. Based on a new generalized transform, called multiplicative average ML-HAF (MAML-HAF), united solution of the leakage and ambiguity problem is proposed. The theoretical performance of the method is evaluated and verified by simulation results

Keywords

Gaussian noise; estimation theory; harmonic analysis; polynomials; signal processing; white noise; HAF; MAML-HAF; PPS; additive white Gaussian noise; coefficient estimation; generalized transform; harmonic ambiguity; harmonic leakage; multi-lag high order ambiguity function; multicomponent polynomial phase signal; multiplicative average ML-HAF; AWGN; Additive white noise; Amplitude estimation; Frequency; Harmonic analysis; Mobile communication; Phase estimation; Polynomials; Radar applications; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on

Print_ISBN

0-7803-3676-3

Type

conf

DOI

10.1109/ICICS.1997.652219

Filename

652219