A computationally efficient technique for estimating the parameters of polynomial-phase signals from noisy observations

被引：38

作者：

Farquharson, M ^{[1
]}

O'Shea, P ^{[1
]}

Ledwich, G ^{[1
]}

机构：

[1] Queensland Univ Technol, Sch Elect Elect & Syst Engn, Brisbane, Qld 4001, Australia

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2005年 / 53卷 / 08期

关键词：

higher order statistics; parameter estimation; polynomial approximation;

D O I：

10.1109/TSP.2005.851177

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Many real-world applications are characterized by the presence of polynomial phase signals embedded in noise. These applications include radar, sonar, telemetry, communications, and power systems. In a significant number of these applications, it is highly desirable to be able to accurately estimate the polynomial phase signal parameters. This correspondence presents a computationally efficient method for estimating any or all of the parameters of polynomial-phase signals in white Gaussian noise and provides a first-order statistical analysis of the technique. Simulations are also presented to support the theoretical analysis.

引用

页码：3337 / 3342

页数：6

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