Synthetic Aperture Radar Sidelobe Reduction Using Different Optimization Techniques

Youssef, Mina K.; Abd El Qader, Hala M.; Ahmed, Khaled F.

doi:10.21608/mjeer.2018.63182

Synthetic Aperture Radar Sidelobe Reduction Using Different Optimization Techniques

Document Type : Original Article

Authors

¹ Dept. of Electrical Engineering, Faculty of Engineering, October 6 University.

² Dept. of Electrical Engineering, Faculty of Engineering-Shoubra, Benha University. .

³ Dept. of Electrical Engineering, National Center of researche

10.21608/mjeer.2018.63182

Abstract

The synthetic aperture radar (SAR) can be used on either an
aircraft or a LEO satellite for high resolution imaging on the earth’s surface. The transmitted pulse is to be shaped and modulated before transmission. A matched filter is used to construct a compressed time domain echo pulsed signal in the receiver. The main lobe level represents the desired target in the received echo compressed pulse to be detected. The sidelobe levels represent a false alarm (undesirable detection). This paper presents different optimization algorithms to reduce the sidelobe levels. These optimization algorithms are particle swarm optimization (PSO) algorithm, pattern search (PS) algorithm and Multi-Objective Genetic Algorithm (MOGA). The algorithms will be applied on different higher orders of polynomial instantaneous frequency modulation signals. A comparison study for these different optimization algorithms for reduction the sidelode levels is presented.

Keywords

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