Autor: |
Khaled F. Ahmed, Hala M. Abd El Qader, Mina K. Youssef |
Rok vydání: |
2018 |
Předmět: |
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Zdroj: |
Menoufia Journal of Electronic Engineering Research. 27:71-104 |
ISSN: |
1687-1189 |
DOI: |
10.21608/mjeer.2018.63182 |
Popis: |
The synthetic aperture radar (SAR) can be used on either anaircraft 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. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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