Parameter Estimations of SAR Moving Target Based on DPCA-FrFT Algorithm

Author

Sun, Huadong ; Su, Fulin ; Gao, Jianjun ; Cao, Xinghui

Author_Institution

Harbin Inst. of Technol., Harbin

fYear

2007

fDate

23-25 May 2007

Firstpage

1779

Lastpage

1784

Abstract

The DPCA-FrFT algorithm is used in this paper to realize the localization and velocity estimations in both ground range direction and azimuth direction when it comes to a two-aperture radar system. The moving point target´s echo model of two-aperture SAR system is established. Then, the linear frequency-modulated characteristics of moving target´s DPCA signal is elaborated. According to this characteristics, fractional Fourier transform is adopted to detect the moving target and estimate parameters. Because of the good capability of DPCA technique for clutter cancellation and the nice effect of FrFT for chirp signal detection, the DPCA-FrFT algorithm can suppress the clutter and realize the localization and velocity estimations well in different signal-to-noise ratio conditions. The simulation results validate the effectiveness of this algorithm.

Keywords

Fourier transforms; object detection; parameter estimation; synthetic aperture radar; target tracking; DPCA algorithm; SAR moving target; azimuth direction; clutter cancellation; fractional Fourier transform; ground range direction; localization estimation; moving point target´s echo model; moving target detection; parameter estimations; two-aperture radar system; Parameter estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-0737-8

Electronic_ISBN

978-1-4244-0737-8

Type

conf

DOI

10.1109/ICIEA.2007.4318716

Filename

4318716