Synthetic Aperture Radar Sidelobe Reduction Using Different Optimization Techniques | ||
| Menoufia Journal of Electronic Engineering Research | ||
| Article 4, Volume 27, Issue 2, July 2018, Pages 71-104 | ||
| Document Type: Original Article | ||
| DOI: 10.21608/mjeer.2018.63182 | ||
| Authors | ||
| Mina K. Youssef1; Hala M. Abd El Qader2; Khaled F. Ahmed3 | ||
| 1Dept. of Electrical Engineering, Faculty of Engineering, October 6 University. | ||
| 2Dept. of Electrical Engineering, Faculty of Engineering-Shoubra, Benha University. . | ||
| 3Dept. of Electrical Engineering, National Center of researche | ||
| 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 | ||
| Synthetic aperture radar (SAR); polynomial frequency modulation; Sidelobe level (SLL) reduction; Pulse compression ratio (PCR); Range Resolution; particle swarm optimization (PSO); Pattern search (PS) algorithm; Multi-Objective Genetic Algorithm (MOGA) | ||
| References | ||
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