Asymptotic Statistical Performance of Local Polynomial Wigner Distribution for the Parameters Estimation of Cubic-Phase Signal With Application in ISAR Imaging of Ship Target

Author

Yong Wang ; Bin Zhao ; Jian Kang

Author_Institution

Res. Inst. of Electron. Eng. Technol., Harbin Inst. of Technol., Harbin, China

Volume

8

Issue

3

fYear

2015

fDate

Mar-15

Firstpage

1087

Lastpage

1098

Abstract

The parameters estimation of cubic-phase signal based on local polynomial Wigner distribution (LPWD) was proposed in the author´s previous paper, and it outperforms the traditional algorithms in inverse synthetic aperture radar (ISAR) imaging of maneuvering target. The contribution of this paper is that the asymptotic statistical performance of LPWD for the parameters estimation of cubic-phase signal is analyzed theoretically, and the asymptotic statistical results are derived for all the estimated parameters via the first-order perturbation principle. Then, the LPWD is used in ISAR imaging of ship target with complex motion, and the high-quality instantaneous ISAR images can be obtained.

Keywords

radar imaging; remote sensing by radar; synthetic aperture radar; LPWD asymptotic statistical performance; cubic-phase signal parameter estimation; first-order perturbation principle; inverse synthetic aperture radar; local polynomial Wigner distribution; maneuvering target; ship target ISAR imaging; Imaging; Marine vehicles; Parameter estimation; Polynomials; Radar imaging; Signal processing algorithms; Signal to noise ratio; Asymptotic statistical performance; cubic-phase signal; inverse synthetic aperture radar (ISAR); local polynomial Wigner distribution (LPWD);

fLanguage

English

Journal_Title

Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of

Publisher

ieee

ISSN

1939-1404

Type

jour

DOI

10.1109/JSTARS.2014.2355219

Filename

6926738