Orthogonal discrete frequency-coding waveform design based on modified genetic algorithm for MIMO-SAR

Author

Mehany, Wael ; Licheng Jiao ; Hussien, Khaled

Author_Institution

Sch. of Electron. Eng., Xidian Univ., Xi´an, China

fYear

2014

fDate

9-11 June 2014

Firstpage

1082

Lastpage

1086

Abstract

A multi-input multi-output (MIMO) radar can be used to form a synthetic aperture for high resolution imaging. To successfully utilize the MIMO synthetic aperture radar (SAR) system for practical imaging application, the orthogonal waveform design plays a critical role in image formation. Focusing on the SAR application, a definition for synthetic integrated side-lobe level ratio (ISLR) is proposed. In this paper a cost function containing ISLR and peak side-lobe level ratio (PSLR) is presented. A modified genetic algorithm (GA) is proposed to numerically search optimal frequency firing order for discrete frequency-coding waveform (DFCW). Some of the designed results are presented. The obtained waveform can be implemented for MIMO-SAR systems to improve the image contrast.

Keywords

MIMO radar; genetic algorithms; radar imaging; synthetic aperture radar; DFCW; GA; ISLR; MIMO synthetic aperture radar system; MIMO-SAR system; high resolution imaging; image formation; modified genetic algorithm; multi-input multi-output radar; orthogonal discrete frequency-coding waveform design; peak side-lobe level ratio; synthetic integrated side-lobe level ratio; Correlation; Cost function; Encoding; Genetic algorithms; MIMO radar; Synthetic aperture radar; Cost Function; Discrete Frequency-Coding Waveform; Genetic Algorithm; MIMO-SAR; Orthogonal Waveform Design;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4799-4316-6

Type

conf

DOI

10.1109/ICIEA.2014.6931325

Filename

6931325