A new method of ISAR motion compensation based on genetic algorithm

Author

Long, Xiang ; Runhua, Liu ; Shibao, Peng

Author_Institution

Dept. of Grad. Manage., AFRA, Wuhan, China

fYear

2009

fDate

26-30 Oct. 2009

Firstpage

647

Lastpage

650

Abstract

Based on genetic algorithm, a new method of ISAR motion compensation is presented in this paper. Aiming to guarantee that GAMIC (genetic algorithm of maximum image contrast) and GAMIE (genetic algorithm of minimum image entropy) converge on the optimum solution, the optimum individual preserved tactical is adopted. Aiming to reduce the heavy computation of GAMIC and GAMIE, the minimum distance and the minimum entropy of the range profile after motion compensation are taken as the fitness functions of genetic algorithm. With improvements described above, two new ISAR motion compensation approaches, named as GAMRD and GAMRE, are proposed in this paper. These two new approaches have been verified by simulation data and measurement ISAR data.

Keywords

genetic algorithms; motion compensation; radar imaging; synthetic aperture radar; GAMIC; GAMIE; ISAR motion compensation; genetic algorithm of maximum image contrast; genetic algorithm of minimum image entropy; Entropy; Equations; Genetic algorithms; Image converters; Motion compensation; Motion estimation; Parameter estimation; Polynomials; Radar imaging; Sampling methods; Genetic Algorithm; ISAR Motion Compensation; Minimum Distance; Minimum Entropy;

fLanguage

English

Publisher

ieee

Conference_Titel

Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on

Conference_Location

Xian, Shanxi

Print_ISBN

978-1-4244-2731-4

Electronic_ISBN

978-1-4244-2732-1

Type

conf

DOI

10.1109/APSAR.2009.5374272

Filename

5374272