Polyphase orthogonal waveform optimization for MIMO-SAR using Genetic Algorithm

Wael Mehany; Licheng Jiao; Khaled Hussien

doi:10.1117/12.2064053

16 April 2014 Polyphase orthogonal waveform optimization for MIMO-SAR using Genetic Algorithm

Wael Mehany, Licheng Jiao, Khaled Hussien

Proceedings Volume 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014); 915907 (2014) https://doi.org/10.1117/12.2064053
Event: Sixth International Conference on Digital Image Processing, 2014, Athens, Greece

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.

Citation Download Citation

Wael Mehany, Licheng Jiao, and Khaled Hussien "Polyphase orthogonal waveform optimization for MIMO-SAR using Genetic Algorithm", Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 915907 (16 April 2014); https://doi.org/10.1117/12.2064053

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