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Proceedings Paper

Polyphase orthogonal waveform optimization for MIMO-SAR using Genetic Algorithm
Author(s): Wael Mehany; Licheng Jiao; Khaled Hussien
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Paper 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 Genetic Algorithm (GA) is presented to numerically optimize orthogonal polyphase code sets design. The obtained waveform can be implemented for MIMO-SAR systems to improve the resolution. The simulation results show that the superiority of the proposed algorithm over other algorithms for the design of polyphase code sets used in MIMO-SAR.

Paper Details

Date Published: 16 April 2014
PDF: 6 pages
Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 915907 (16 April 2014); doi: 10.1117/12.2064053
Show Author Affiliations
Wael Mehany, Xidian Univ. (China)
Licheng Jiao, Xidian Univ. (China)
Khaled Hussien, Military Technical College (Egypt)

Published in SPIE Proceedings Vol. 9159:
Sixth International Conference on Digital Image Processing (ICDIP 2014)
Charles M. Falco; Chin-Chen Chang; Xudong Jiang, Editor(s)

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