An efficient compensation method for ISAR imaging based on short time adaptive gaussian chirplet decomposition

Author

Xianquan Luo ; Chengjin Shan ; GuiZhou Lv ; JiuEn Yu

Author_Institution

Dept. of Electr. & Opt. Eng, Ordnance Eng. Coll., Shijiazhuang, China

fYear

2014

fDate

29-30 Sept. 2014

Firstpage

891

Lastpage

894

Abstract

The echoed signal model of the moving target for the stepped frequency radar is analyzed, and that translation and aberrance of high resolution range profiles and blurring of ISAR images are resulted in moving targets is pointed out. A new automatic motion estimation and motion compensation approach is proposed. This approach obtains the time-frequency chirprate used short time adaptive gaussian chirplet decomposition (ST-AGCD). It can automatically estimate the rough acceleration and velocity of targets. Then the estimated motion parameters are used to compensate the echoes. Simulation results prove that this method has good efficiency.

Keywords

adaptive estimation; compensation; decomposition; image resolution; image restoration; motion compensation; motion estimation; parameter estimation; radar imaging; radar resolution; synthetic aperture radar; time-frequency analysis; ISAR image blurring; ST-AGCD; automatic motion parameter estimation; echoed signal model; motion compensation approach; radar resolution; short time adaptive Gaussian chirplet decomposition; stepped frequency radar analysis; time-frequency chirprate; Acceleration; Chirp; Imaging; Motion compensation; Radar imaging; Time-frequency analysis; ISAR imaging; ST-AGCD; motion compensation; motion estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on

Conference_Location

Ottawa, ON

Type

conf

DOI

10.1109/WARTIA.2014.6976416

Filename

6976416